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Paper Citation Record · LEDGER

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data

As of 9 August 2026, this Paper Citation Record lists 100 of 108 outbound references and 0 inbound Pith citation observations for arXiv:2608.05375.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.05375 v1

Coverage vector

measured 100 of 108 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:22:30.049550Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 108 outbound references displayed

  • verified exact3
  • verified fuzzy34
  • unresolved60
  • parse uncertain1
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 68000d12-5937-4a31-90d4-f0c08fbbfc75 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-08T14:22:29.571156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.571156Z digest=sha256:5fc0f2928c2b66d482252fe7754ac264610e8c93ed4f8148e0a46eed6fbb9446

Observation c7fadfd7-0f92-4c26-80d0-d0e57fece313 · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data gpt-oss-120b & gpt-oss-20b Model Card

Reference 2

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source=pdf_text observed=2026-08-08T14:22:29.576906Z digest=sha256:86faa339500776b91a6d3afcc2279f34d5b5d2fdc47e0cdf97c360ddfe3277d8

Observation 0fa55a9a-a3a4-470b-9415-f17452c26cb9 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.583193Z digest=sha256:520b5eae2b5ac5aefe486e82b661da171444a0053001a82527dc7392772ce482

Observation 22587316-a9cb-415a-bc77-73076c632ab1 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.588288Z digest=sha256:ccc46c6301e6727448083b0efc23def440c6e9fa40d58b3b64dadab7e66366c8

Observation be8054cd-5405-47cf-95c6-082c9dad6e76 · outbound

This paper cites Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D

Reference 5

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source=pdf_text observed=2026-08-08T14:22:29.593031Z digest=sha256:7f2d63d0ba8e9d24ff63199324d4a85ebcaa05bc1cfa1071f3708a2c8825dc62

Observation 47a61540-487e-45b7-a803-63adfb89344b · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 6

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no resolver link, observed 2026-08-08T14:22:29.597642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.597642Z digest=sha256:0c5872bd20dbac84b6463bb4c8bf36e61c6cbaa4d34615ad5ea00db8c5ef8ce6

Observation 816096e5-4bf8-4144-8a32-77e944f44e63 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 7

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no resolver link, observed 2026-08-08T14:22:29.602515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.602515Z digest=sha256:5bd12c339b20770051bb651972fcae7fc109b76c10df2c57cff01e19c927c124

Observation 407cc531-2e24-4102-ae00-a0b89b48f843 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 8

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no resolver link, observed 2026-08-08T14:22:29.606574Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.606574Z digest=sha256:2d109cd0e0f1966e39917141ab49f178ca00139838fd9328918e39f1c1e4bcca

Observation 300d2d74-2e34-4da2-b145-896ffbff266d · outbound

This paper cites Evaluating Large Language Models Trained on Code.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Evaluating Large Language Models Trained on Code

Reference 9

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no resolver link, observed 2026-08-08T14:22:29.610771Z

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source=pdf_text observed=2026-08-08T14:22:29.610771Z digest=sha256:e8845930c002c8806f75e0313af79337ec61f36c3b67ebb7e600de2b7f7a0df0

Observation 3705bc4c-028b-49b4-a45c-edb9351cf0c0 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-08T14:22:29.615439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.615439Z digest=sha256:8b00cc40fce9447637ae2d32e0a8995562bbee1a26df9717afc5633187bcf498

Observation b77bdb38-54a8-4b7e-a400-b4bc7a4efbd4 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.619877Z digest=sha256:4f686d69c0476d6d9b598d6c9326ed67322f5e973ff5b969aac9a25bbede599e

Observation d168d2ad-491a-4c8b-9579-351f51256420 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 12

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no resolver link, observed 2026-08-08T14:22:29.624631Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.624631Z digest=sha256:a22423f61193511b4e574f5812c37f72e070e01db3dc0a503a7311a55a581d0f

Observation 5b94b9dd-6607-4eff-b642-71cedc45a469 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 13

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no resolver link, observed 2026-08-08T14:22:29.629274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.629274Z digest=sha256:fbf703a57723daddbef7edf218a904ce043c0c56f1dde937a7fead4558f82f61

Observation 84bf2def-6d43-4b5e-8541-62e84778b5b8 · outbound

This paper cites The Llama 3 Herd of Models.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data The Llama 3 Herd of Models

Reference 14

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no resolver link, observed 2026-08-08T14:22:29.633906Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.633906Z digest=sha256:7ea07700f21849254875ca88513c3164ded17f378c404fd3288fabff9d67c17a

Observation 2c9bdde7-f3b6-47e1-a5f5-8b893bd5c369 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 15

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no resolver link, observed 2026-08-08T14:22:29.638906Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.638906Z digest=sha256:a5beb72e1e11984fba3d3cdb154f51fa6ea3f79e7d8726ae7a95ee51cfdd1bc7

Observation 8fdb9b4a-d3c3-47ab-a129-628739d64b77 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.643348Z digest=sha256:8c3dcdf924a1f2b4823b813a1204c3083c2b4b184cd27623bee9303f5e5bed30

Observation eb83692c-f6a4-4247-8b0d-0490a64f4081 · outbound

This paper cites Hoos, and Kevin Leyton-Brown.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Hoos, and Kevin Leyton-Brown

Reference 17

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no resolver link, observed 2026-08-08T14:22:29.652763Z

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source=pdf_text observed=2026-08-08T14:22:29.652763Z digest=sha256:01bfb5b9a8606cf541fc73b45736fd4b9df7c1ae4d00c4f2b0c061d1613ef422

Observation 507ddd78-80d2-4cad-b930-d58d9ada0b3a · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 18

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no resolver link, observed 2026-08-08T14:22:29.657336Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.657336Z digest=sha256:c05e7e38c4167a398dbdcd14e2b913044bf3eb4ffd26640574ae9d87946f08fb

Observation 3a795d4c-e3b6-4f64-bf23-f244357458a8 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-08T14:22:29.661742Z digest=sha256:bab0f6c6f3ba154b8711315ad9bcdec3040187181291d276b83672a65ee88596

Observation 45550b88-2ea1-4025-a153-cff4f561fa1d · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-08T14:22:29.666297Z digest=sha256:2f6bfd5d10b19ea9edf917dd15f3d92216a4584825aa054e23c46396e518691b

Observation a2d1b903-b8d4-4931-be3a-931deb27f18b · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 21

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T14:22:29.670714Z digest=sha256:d571d6c4c363e15edf1c406aaf91020d1309093d8c1f3f07a721c69bc02063b6

Observation 536bcbfd-2183-4d40-abc4-790f53d18ac7 · outbound

This paper cites GPT-4 Technical Report.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data GPT-4 Technical Report

Reference 22

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source=pdf_text observed=2026-08-08T14:22:29.679941Z digest=sha256:c6a52b0051360b704cb4dd7cd1a95d26dbffc933bd4c6b01b9989c93df94d8a5

Observation 714f6823-0cf9-4083-b7c0-9a5bc61114cc · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-08T14:22:29.684796Z digest=sha256:2486ec99ec06ef3e0923539ce46da2664c45532792b21833f50eb091f9cb77fe

Observation 700c6df9-9123-45a5-a7e0-2753e5dc8d6b · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 24

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verified exact
doi, observed 2026-08-08T14:22:30.171405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.689060Z digest=sha256:c1e6c54f9d55f1a5fa701d1f78ac57595d1b1aeb0114347af4ede6b9f85fe99d

Observation eb47bb19-46b4-4626-9d66-dd958f234a0c · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-08T14:22:29.693619Z digest=sha256:9f751250968dec89784e1a5fff2483d05c255edc4173a3f7f5cc0ac68786ea78

Observation 8da98338-4e48-46c7-8dbf-c09ab546cd72 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-08T14:22:29.698024Z digest=sha256:06fb5eb30d8862a098f2043cfb56b1f9f919bef267dac436e73a7bebd3ae9597

Observation 3c19252c-0562-49c2-bff5-019efe7b31fa · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-08T14:22:29.702483Z digest=sha256:6e87d0a5bc23313731f361ecc29f5c0eff0b5ead89a52655810308e4957913a1

Observation cae8dcd4-576f-41c6-8c39-1400091f9334 · outbound

This paper cites Interpolation-Prediction Networks for Irregularly Sampled Time Series.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Interpolation-Prediction Networks for Irregularly Sampled Time Series

Reference 28

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source=pdf_text observed=2026-08-08T14:22:29.706805Z digest=sha256:136301735416c4058db84af73a47bb9a63c631312e383e486e575d91bbe4cdcf

Observation 627b33f0-5c5f-4459-939f-8e838e819bc6 · outbound

This paper cites Multi-Time Attention Networks for Irregularly Sampled Time Series.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 29

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source=pdf_text observed=2026-08-08T14:22:29.711709Z digest=sha256:0ceda43a381c75f099547bf0e5f6bdef697c80ace134bb2a07a4d37d271a61a1

Observation 898cabd0-3e7c-4c2d-b244-a23a7b6565ed · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 30

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no resolver link, observed 2026-08-08T14:22:29.716580Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.716580Z digest=sha256:3650283deff54ad5dd9c39a84ea0f5d8c7b876767dfb9bc10a3c52ad6e033dfd

Observation 7e9d6619-d4d9-4ce7-ab10-ad5ca7d43b00 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 31

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malformed identifier
arxiv_id_nonexistent, observed 2026-08-08T14:22:30.822812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.725637Z digest=sha256:b8e2e585619fdaa63cc9c3c79c095d5599be2733df4708342d26c901a423ff5f

Observation 9503993e-56e6-4d86-98f0-b9159c95dbd3 · outbound

This paper cites Hoos, and Kevin Leyton-Brown.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Hoos, and Kevin Leyton-Brown

Reference 32

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verified exact
arxiv_id_nonexistent, observed 2026-08-08T14:22:30.653972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.730385Z digest=sha256:0817c14700114e10074a7267acc21cbd4516b0a78db2897cf16520fa462c7fdd

Observation 0810d7bf-43b8-4b19-be46-29ca830df0a6 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-08T14:22:29.734827Z digest=sha256:992c3316b640d6551db684abf929b6fea47331d121c3e862ccb29a8175318a9d

Observation 4ceb36c4-dd28-459e-a8f2-1eeb24fa99f5 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 34

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T14:22:29.739219Z digest=sha256:0c89ef7b896c83d21e7eb2717f459a79ec1291cb87586ab5ff903596b8b27d58

Observation 1f371fa2-200e-42a2-bd82-81c1484b2c14 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 35

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T14:22:29.743935Z digest=sha256:9f72be52d5906f8f765474886254eed8a303c28ef199594dce10c9ecd7c8cfe9

Observation 247d392a-4b0d-40f1-ac7a-d7d887bbedff · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 36

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verified exact
arxiv_id_nonexistent, observed 2026-08-08T14:22:30.477007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.748426Z digest=sha256:6f21df4d6fc4ba461cf4d0bd0bfb13aaeee5fda7b53760ca2d35940c53fa930c

Observation df4c53e7-6358-488e-a3a1-ee7053e16cc3 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.752984Z digest=sha256:0de652e51f77263309721b97acdbdb85ed32900054662c85d44be64fcb170fd7

Observation c4fd9133-a470-47d2-bfc0-32cfba4311f6 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 38

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source=pdf_text observed=2026-08-08T14:22:29.757345Z digest=sha256:c9e1c7f2ad80bc12ffd180ec56d3726eda9d0a55ef775f9ec94d5c10524d6620

Observation 2409e962-ee56-4028-8a7b-84daf3fdb4ee · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 39

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unresolved
no resolver link, observed 2026-08-08T14:22:29.761950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.761950Z digest=sha256:952eeca0f518c1c8d7cc2f6c387810f29e701b71f5ff80570efba972bfbce288

Observation f2b7411e-9f0b-4621-8632-a00336256138 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T14:22:29.766526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.766526Z digest=sha256:d5107991459774c06a53c76a906abff7fc67b0eb1747ef0121a294c81446b7ee

Observation d32c716c-92d6-4d6f-90a5-798ba86780cc · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T14:22:29.770822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.770822Z digest=sha256:4f7853091794a4ee7d429f840c06e3ee1d819f4362767288707c63193428b8f0

Observation 8467714c-b1aa-47dc-b7bb-d29f479229e6 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data ReAct: Synergizing Reasoning and Acting in Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T14:22:29.775334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.775334Z digest=sha256:6d1e1b6f35bdd61e06d15712620e3926de4a47d4e7e875a0e57b9aa10ccbb57e

Observation 2c2fbb4a-8c45-42ec-86f6-05be3823092c · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-08T14:22:29.780168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.780168Z digest=sha256:f406e97e9e2cca28b2efd9e320a38f10bfd4fbef01555c9f9e8921bf53bbf39b

Observation d1b74f8a-016e-42cf-a373-82d207b1ee00 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 44

Resolution
malformed identifier
no resolver link, observed 2026-08-08T14:22:29.784625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.784625Z digest=sha256:5c15e0a58c1c4cbf6f7bd68018175447744b397e8af425b744730eeb63c6549a

Observation ee1420f6-8e02-4ee9-95ea-511a9e382d5f · outbound

This paper cites Do not include any meta commentary, rationale, or explanations.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Do not include any meta commentary, rationale, or explanations

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-08T14:22:29.789937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:22:29.789937Z digest=sha256:be16b93d0ccc46440c675c4c772948c97b00263e831daf196c66f74e72b4b7e2

Observation 54508d7d-0264-4ee4-87ef-5fe8e1195ea6 · outbound

This paper cites Do NOT introduce, infer, assume, or add any information that is not explicitly present in the input notes.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Do NOT introduce, infer, assume, or add any information that is not explicitly present in the input notes

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.966988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.795064Z digest=sha256:733025c884819c7c845334b4a228d8d9cfa7f6e43272632c48bc4f7ea4b87ab7

Observation ce91065b-f8fe-4212-a513-2be118a455e8 · outbound

This paper cites Preserve information that is most useful for future optimiza- tion decisions:.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Preserve information that is most useful for future optimiza- tion decisions:

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.950706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.799575Z digest=sha256:7fc855f83171109362cc98a640a6d7eb5b4937c8e376b573834582b34951fa1b

Observation d78e99d3-ba8a-4eb3-8263-18ac38e3e6d4 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.935353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.804536Z digest=sha256:b95312947445c411863306bbaeee9a08d6102a8a4c00f0cb362bd1e3b00a92bf

Observation ab4e3d98-8fa0-4a85-8525-80cf39b4ad9d · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 52

Resolution
parse uncertain
raw_fallback, observed 2026-08-08T14:22:31.919762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.808961Z digest=sha256:2a718a052cfc732eedf4d569db3805aa7e7e3292d7151a0a0b8c9b67e4ee1138

Observation 3f100eaf-d2c5-4c69-9fd9-3dec10275adc · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.904910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.813243Z digest=sha256:fd16fa566c37a83643760ffba303e761a8d8ef5b9d6957b28563f84c096ae382

Observation cdba1c58-2c53-47a9-bc85-57dc2fdf77f3 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.889885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.817752Z digest=sha256:615c3628f1eb51f8b968f4e2cdcdcd7c78a88daf6c80f91a950827ce0b56a246

Observation 2fd12688-504e-49a9-9049-dd6fa06f2f5c · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.875489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.822183Z digest=sha256:e9e011a68c8fedbd7653a5bf5c8a5fbfc68f4745749533473af7ebf879da73a9

Observation 1a58822a-d3ed-42eb-8f23-eee8ff41fb56 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.861492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.826678Z digest=sha256:09e10629d5334c6c093cd3da39a72b2adbb0e903f5314cfcd9e8adb7aa83ecda

Observation 1dec66dd-e7fe-4bca-bd8c-b9f211f63604 · outbound

This paper cites System Prompt for Evaluator You are an expert clinical ML engineer and code reviewer acting as an evaluator for an agentic machine learning system.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data System Prompt for Evaluator You are an expert clinical ML engineer and code reviewer acting as an evaluator for an agentic machine learning system

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.846318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.831091Z digest=sha256:d0c76d27e0c13203e7cd612868b0c1d6cba946ddfd30d43d9cfd5829c36763fb

Observation 6fc73463-5e96-4cfc-a6b0-afa446e7bcef · outbound

This paper cites The raw datasets have exactly the same feature space.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data The raw datasets have exactly the same feature space

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.785576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.849435Z digest=sha256:8ab88ed2a6cb0ece989d24d6fff087d9a7b872847201f35c535fea213659ac5c

Observation 620d8795-8a5e-4b3f-89a1-f620cddedb1b · outbound

This paper cites If exists, You must strictly avoid any feature engineering or preprocessing oper- ation that uses, derives from, or is conditioned on the target label.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data If exists, You must strictly avoid any feature engineering or preprocessing oper- ation that uses, derives from, or is conditioned on the target label

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.770178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.853875Z digest=sha256:f84c0a9e80cdf0837e4cbdf6e06f0976dc8e319a88c6bdb2a0a1429f63ffada8

Observation ee71a6f8-b673-4511-9745-72c47a749bcb · outbound

This paper cites Keep ID ({id_col})/Label ({la- bel_col})/Time ({time_col}) column names and case unchanged.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Keep ID ({id_col})/Label ({la- bel_col})/Time ({time_col}) column names and case unchanged

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.755612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.858323Z digest=sha256:482e17ee16b421104f90c9e358856eff8407b750fbfcf1fd21ddd52b13db5da6

Observation 13ba2ed1-c7ec-4d18-88db-6e99f0aea218 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.740519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.862659Z digest=sha256:54c265fb144a5c7d9e132883926eab2265c283c945fb9f38040e37104311c101

Observation ddf77195-7b45-45da-b468-ed0204f5c676 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.831161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.867124Z digest=sha256:794b0e0a7c995a821fd9d319b6fe8ac98dadabb289f7cd714fc57368006a4169

Observation cc322d4c-ce50-4d65-8385-b9054a04388a · outbound

This paper cites In-code Requirements:.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data In-code Requirements:

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.816138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.871398Z digest=sha256:d5ceb5f5c28eccdf1ab4548b55b028341d55fd7c73a4456909c4c42d14a4c78c

Observation 691f80ea-51bf-4681-8b98-27cfa69244c7 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.800669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.875762Z digest=sha256:6bde3f5c4ecfbc81ecb8b89395396b69c453fb85daebab1279eb447f4c21a6ea

Observation 4595d5d3-415b-4f38-a032-f637fcee2ec9 · outbound

This paper cites The datasets have exactly the same feature space.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data The datasets have exactly the same feature space

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.726184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.879884Z digest=sha256:a76b25b34cdef9098c19363b7f5007303b5cef0670ae0c9142d065795d50f9bf

Observation d42df0b2-085f-493f-8a3f-49c37fee3e1f · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.711308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.884255Z digest=sha256:c4f8ceb74998c0f724d1e74eef89956ee77694ab88fc05f9781d3866d579171d

Observation 20091e6a-1f1c-412a-864a-fff4eab70397 · outbound

This paper cites test_performance (a single float value reporting the best model test performance), and (iv) best_model (ONLY hyperparameters and name of the best model).

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data test_performance (a single float value reporting the best model test performance), and (iv) best_model (ONLY hyperparameters and name of the best model)

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.696555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.888702Z digest=sha256:70b117e25912a11f61482bcc28ead1e60699693f2cdb7f9cb26301965dc2accc

Observation f9d620fd-e483-4f14-af3e-9a535d262f09 · outbound

This paper cites If all models failed, output empty CSV), and save as a csv file to shap_csv_path with two columns:.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data If all models failed, output empty CSV), and save as a csv file to shap_csv_path with two columns:

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.680782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.893148Z digest=sha256:0432af4891beb3e5670618e3ef30df529dcedad4628b6cc717c35ba75bdd4ac2

Observation 1b2847cb-192e-4a63-98c6-85ed72a3a949 · outbound

This paper cites abs_mean_shap (the mean value of absolute SHAP), the CSV file should be ordered by descending abs_mean_shap.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data abs_mean_shap (the mean value of absolute SHAP), the CSV file should be ordered by descending abs_mean_shap

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.664796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.897587Z digest=sha256:a80cbab8d1405872bcfb5658bd8a08218db2d3ecc86e9f74c6a7cc142e4cbf76

Observation 0ed63831-c5e7-412c-9dfd-c288a99d7d1c · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.649685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.902068Z digest=sha256:8a959f12629c1dd8b7b9aa4808d13cabf7f927541dfa6edea5f61dbcf13e4bf1

Observation 7f707574-2e01-4a17-95b9-2c9f851aaa37 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.634440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.906387Z digest=sha256:d61b9e16a112e92991ad9c646b4618fa74cfcb7a3fbe6ed904b0b0f95efbc683

Observation d7f33ca0-dc40-42e6-aed3-b7daaa9ce26d · outbound

This paper cites accuracy.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data accuracy

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.617718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.910862Z digest=sha256:3833080a17582239a9ac95687433a638422b67d5a8d18c691950b80e8b786e30

Observation bd85190a-42c2-4037-af6a-65cd97b04551 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.602160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.915256Z digest=sha256:b7d752add8dc3bcd879b475fe89aa267245d37ef72f4a6f39bbac08dcc76395e

Observation 2df53e46-414b-468b-84fb-f6bf24e0ded3 · outbound

This paper cites The same preprocessing strategy should not be blindly applied to all features.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data The same preprocessing strategy should not be blindly applied to all features

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.587033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.919487Z digest=sha256:f6bbad7af79925b2c25bdf2bd486ffe541f406a2c8ebb73a35b6dfb379a3c224

Observation 54586803-be5c-4ec5-98b0-738171ad7621 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.571101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.923885Z digest=sha256:6462d7fd9bbc83a0f1ac1e6d82605fafc383a83b0a907d1ec68c5db0c57522a1

Observation 78d40fa3-e6cc-40f4-a69b-929b2f87412e · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.556036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.928294Z digest=sha256:372b347fe2168d57cc832d9b6a078f3657f7dce40a5e7e698c6931fc1359cd1b

Observation dcbb27a3-3744-4372-9894-507bcea9d354 · outbound

This paper cites IMPORTANT: DO NOT use ‘xgboost‘ or ‘lightgbm‘.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data IMPORTANT: DO NOT use ‘xgboost‘ or ‘lightgbm‘

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.541133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.932558Z digest=sha256:ad3b98bd8d53eacae8b400a97f20306db42451da626b1d5c139608b61d7d6500

Observation 0008bf66-0d1b-4f9c-bc97-16dbbe900224 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.526355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.936776Z digest=sha256:9d9e28a3b63189dce5c4db142094c7d782eab27ecbd11ca8ff9bbd214bab2b35

Observation cd4109a0-35de-4bda-976e-c7c40ed537cd · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.510817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.940927Z digest=sha256:63215d25d2a0eed566328c46c2193f99381015d7f36ad22b6e84cd98a8707f72

Observation 14e0bfed-70ae-4bb2-b431-4ef22e0ba9cf · outbound

This paper cites Invalid",.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Invalid",

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.496004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.945516Z digest=sha256:daeb4398f7f1b14253ccb68051400902e18f497e6496d762078850e5f8a9fc14

Observation 72edfe27-4047-4347-8419-706eb9b9ebe2 · outbound

This paper cites intended.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data intended

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.481199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.950268Z digest=sha256:727445e3cade315604a3c64a111c205feb102398027277fcf8aeb362a6fd7f5a

Observation 6a796b95-fde0-4a63-ae15-bf46ccc61139 · outbound

This paper cites set to NaN).

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data set to NaN)

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.466487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.954753Z digest=sha256:74c6a35a72ed2d2de0fde8364280b6a8872a9c0077e409d257ad7fdbe15dd6c0

Observation 34aec5e8-f9ec-4aff-b9c9-f29a89074deb · outbound

This paper cites This dataset historically contains ‘un- known” encodings (e.g., -1) (you even saw Mpoc_-1 show up in Step 6 SHAP).

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data This dataset historically contains ‘un- known” encodings (e.g., -1) (you even saw Mpoc_-1 show up in Step 6 SHAP)

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.452216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.958958Z digest=sha256:e37b27d37963f42cd1242c69060820bc5e8751e1e08335af89b171f6ee06af04

Observation d0076119-5774-406d-a662-b0eb74f395ef · outbound

This paper cites days-to-start.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data days-to-start

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.436596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.963494Z digest=sha256:9783d6501d4026e99249ba013e607489890208dbfbf86b91b9fb72c8ebd939c2

Observation 369676e5-c23a-4488-8250-9d815262d5ef · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.421837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.968028Z digest=sha256:089af913202d935ece2c68d76466ed8b3ecd87e9ae8710fc9469f976707be9df

Observation bf396bf8-b4fa-4320-808e-376b5f8175a0 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.407150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.972278Z digest=sha256:da3c3c189946fb0fd45da7c7e78b0481802be825bf92ee5687f10135537fa2cd

Observation 9e2585c3-eefb-4f81-a364-94885662cd85 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.392917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.976756Z digest=sha256:5520f6ce6b64d189278b05537ee249786eef29c8aff6452b2e3f54015ca0ff12

Observation 4c1d9de9-48cf-456c-8b07-9aba7ffa1830 · outbound

This paper cites an unresolved cited work.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Unresolved cited work

Reference 91

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:22:31.379337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.981407Z digest=sha256:18bed382c7c2d6d48fc5cdf4a0a8c2c402d4166fb03e0fc6b90f3e89624fb1c8

Observation f6160493-3b57-4738-99bd-8ae0f0adc11d · outbound

This paper cites If you implement only one change: fix anchoring so you’re not static-only for∼95% of patients—that’s the bottleneck cur- rently limiting validation AUROC.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data If you implement only one change: fix anchoring so you’re not static-only for∼95% of patients—that’s the bottleneck cur- rently limiting validation AUROC

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.365205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.985899Z digest=sha256:1910ba1f3f2ade8c593147858e70c1870b4deb04ff77f69f6af00ecad03ff012

Observation 3d978824-13be-4ad2-ba7c-71bac151ec0e · outbound

This paper cites static-only.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data static-only

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.350418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.990376Z digest=sha256:2cf2348c6b42db31f2764bffdb003e1ed7ab7d4a389c3e16916c0fdf403bf176

Observation 0ad00f6e-12db-4ae6-ab8b-8a4a15c49f0c · outbound

This paper cites Change * Always populate meds/comorbidities from the chosen “base” row (or any available row), even if anchor is uncertain.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Change * Always populate meds/comorbidities from the chosen “base” row (or any available row), even if anchor is uncertain

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.335077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.994828Z digest=sha256:ebeba57f902b0468c157fc0ccbb6cd1b998d35ef48c1ab46a778caef0edbd15e

Observation f13522d8-3e28-4558-9ace-ceb2914b13b7 · outbound

This paper cites un- known/other.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data un- known/other

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.320473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:29.999063Z digest=sha256:9a0f00dc914414ec19affd242a6f63f75c853434be39b19415f45ff66b240266

Observation 0095a66d-604f-42ec-b8f5-c8d89e624c05 · outbound

This paper cites So those bins never enter feature_cols.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data So those bins never enter feature_cols

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.306629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:30.003473Z digest=sha256:78eeab5f51e6a408b0783196b13b1f556dbda4d14cfd91d575ee8a7b8026cc49

Observation 1f2ed56f-1ac5-4582-b78c-455a07acb8f2 · outbound

This paper cites everything missing→ everything pruned.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data everything missing→ everything pruned

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.292752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:30.008089Z digest=sha256:4169e0a30cba6c294243950ede4793e5e23632ab69187777ecf4cfbdcdc254fb

Observation c0113c6c-1945-4902-a77c-00a44bb269ec · outbound

This paper cites That can happen when clinical disease activity features are missing, but it can also reflect proxy learning that doesn’t validate well.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data That can happen when clinical disease activity features are missing, but it can also reflect proxy learning that doesn’t validate well

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.278811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:30.012670Z digest=sha256:d2ec449b6137853b8d56db8cd3413b8196bdb4302a0360ec6542e472464a135f

Observation 00d5a406-882c-4b38-9739-42ae5f0075d6 · outbound

This paper cites usable longitudi- nal coverage.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data usable longitudi- nal coverage

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.264544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:30.017752Z digest=sha256:2cc2c1e643e6d84b5a9a69a8c9e11e033dd4ae57c9af4ecf3fed12d8613984cb

Observation aa252ed1-6495-4331-8b5a-8482b68a3213 · outbound

This paper cites Keep broad coverage, but reject anchors that imply impossible timelines.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data Keep broad coverage, but reject anchors that imply impossible timelines

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.250590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:30.022337Z digest=sha256:f3743a71643edcb8eff33c612f51d5d428775a4478a36730db47e4e458a213a0

Observation 5ef127ee-674e-4ea8-9f10-ef14a0867c55 · outbound

This paper cites always missing.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data always missing

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.235965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:30.026762Z digest=sha256:10e9fdeaffa1e9a6c0f9d71e72111d7134f8804e90a84ce1c6fdf7fe0d1a5949

Observation 52664e12-ebd0-4c4a-a1e1-63a5d01578e8 · outbound

This paper cites has_any_measurement.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data has_any_measurement

Reference 102

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.222058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:30.031186Z digest=sha256:5bea4a7d8d11adb90e97e55c0b6a1005b5dd2950e9cb15adf5d2c5f0726d08a8

Observation a480c445-cc47-4303-b258-9bd60f95c33f · outbound

This paper cites model-ready.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data model-ready

Reference 103

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.207714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:30.035859Z digest=sha256:a2bcea188828bbb4077062d9fb95887b120a59f1fefd8493e4c883e752931cf7

Observation dc457961-c135-4131-888d-504b80deb773 · outbound

This paper cites structurally missing.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data structurally missing

Reference 104

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.193894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:30.040399Z digest=sha256:6dad8829bfc189a5929aa1125528f22971bb67f3526d3f811c4914236ab946ca

Observation f26c2eca-08c2-40c3-9aa3-e0b4883ff25b · outbound

This paper cites * Try no KBest for LR and rely on ridge/elasticnet regulariza- tion (much more stable in p>>n).

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data * Try no KBest for LR and rely on ridge/elasticnet regulariza- tion (much more stable in p>>n)

Reference 105

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.179303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:30.044872Z digest=sha256:4e990a42718a4fe3e7de8dfcc28468bbe692c61c2fdae4ed78d970be3c3d383e

Observation b5eec8b4-aedd-4450-89b9-90e9a377b4d8 · outbound

This paper cites * Your step history already found useful solutions at C≈3 (Step 6), but Step 7’s search tops out at C=0.3 for L2 and elastic.

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data * Your step history already found useful solutions at C≈3 (Step 6), but Step 7’s search tops out at C=0.3 for L2 and elastic

Reference 106

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:22:31.163450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:22:30.049550Z digest=sha256:5e1101ddae81eb42a1131ceb7a2af1a5020cb21ddbd3722bdbfc959ab76b0b4c

Pith citing papers

No inbound Pith citation observations are available.