Pith. sign in

Paper Citation Record · LEDGER

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions?

As of 6 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2605.27082.

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

pith.paper-citation-record.v1
2605.27082 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T17:33:33.791346Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved39
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4c355fc4-6baf-4883-b1f8-54a5f75b5637 · outbound

This paper cites Zarin, Tony Tse, Rebecca J.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Zarin, Tony Tse, Rebecca J

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:036fdfd3d645a44bb22ebf7115ba3fb8d9cdf0fa1290d0fc5d65eb6702aeea05

Observation 8b433180-2a72-41e6-b9e6-42585fad072a · outbound

This paper cites Crawford, David Peck, Joshua W.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Crawford, David Peck, Joshua W

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:9f9f749d0eb2551fe012961e65ae96c3b694232bea93681916cd4339fa47c226

Observation 0f425ed5-3c6d-4534-bc7e-429adcb414c9 · outbound

This paper cites Corsello, David D.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Corsello, David D

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:2f1fd5874f395b68517d6e5b5f89a754dac90754afa9c193d3912d909b6b3f2d

Observation dfdbe280-ace4-4ea6-af56-ba18d6aa280b · outbound

This paper cites FEDMEKI: A benchmark for scaling medical foundation models via federated knowledge injection.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? FEDMEKI: A benchmark for scaling medical foundation models via federated knowledge injection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:455f4f8ffd427520e7204274282d8e6c85adeade54aebdb89a4875dd15cef7ac

Observation d0b74fad-d7e9-41b8-9709-a70905c85bce · outbound

This paper cites HypKG: Hypergraph-based knowledge graph contextualization for precision healthcare.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? HypKG: Hypergraph-based knowledge graph contextualization for precision healthcare

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:a47f286dd1579e17b06aaf8a1119caf3ce18e453ae87e33d57c64726d4a6f67a

Observation 4c89af4b-a634-4c1f-8877-1ac28837fcf1 · outbound

This paper cites Foster, Jeremy M.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Foster, Jeremy M

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:15b688f41b19d2047480820e56407ae6d1fba8812133dd96e6ed2420ae252f0f

Observation dc8bedab-f257-4b1c-998d-619797284936 · outbound

This paper cites an unresolved cited work.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:ef41a2b10fc7d23c3b2e01fa52caba208be3983991fe9ce3258613aa7c5af3ba

Observation 0f417102-10e3-42e4-8d30-1cb66152d9c0 · outbound

This paper cites Recursive partitioning for heterogeneous causal effects.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Recursive partitioning for heterogeneous causal effects

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:f3020287ff22266545e4e8db790af7858b41b85738247f452d0c11422cb1abf4

Observation 3d8383ab-3708-4ca4-8277-aadeb91d3a56 · outbound

This paper cites Generalized random forests.The Annals of Statistics, 47(2):1148–1178, 2019.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Generalized random forests.The Annals of Statistics, 47(2):1148–1178, 2019

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:e79993ca2b28a6e9a8f0a50900ba3d32c41f8d022279aad4603144270fc2c879

Observation 2e67b956-ad1d-4afd-ae98-9f0db087124b · outbound

This paper cites CURLS: Causal rule learning for subgroups with significant treatment effect.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? CURLS: Causal rule learning for subgroups with significant treatment effect

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:559299cbf98dc0a15520153e2b99a9939a70e4dba3e818de917eb9fcb2bc79cb

Observation eb3563ea-34c1-4cf6-83f3-7d8048c62a51 · outbound

This paper cites Learning subgroups with maximum treatment effects without causal heuristics.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Learning subgroups with maximum treatment effects without causal heuristics

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:f5d025bca51cdda950b8132ce43463be625b5e693c9bbb5cb7e9e7fea615f601

Observation 6c8b8b5e-7dd8-4f83-a420-e5243a691405 · outbound

This paper cites Building a knowledge graph to enable precision medicine.Scientific Data, 10(1):67, 2023.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Building a knowledge graph to enable precision medicine.Scientific Data, 10(1):67, 2023

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:b21eb7d759569b2dc304ec88ae8f2c320c99f69298a3d7ec5a6374c2d5a1ca5b

Observation 6c69234d-3ee8-4f12-ae78-09e262ef6c05 · outbound

This paper cites The PROV data model and abstract syntax notation.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? The PROV data model and abstract syntax notation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:30599e9f745787a4372155b8a2cc75d253e15af03d47b9ea1129f6501c36c922

Observation e72594b4-4f1b-4c94-9ed8-79c66f74ffbc · outbound

This paper cites Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data.Statistics in Medicine, 43(22):4388–4436, 2024.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data.Statistics in Medicine, 43(22):4388–4436, 2024

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:644322c3af8faaca68c91d9e77fb74e257f8086c8b5b5bb7a8133287ac7280c2

Observation 51f2d2c3-9e20-4372-8d89-a19361ee2e28 · outbound

This paper cites MetaGPT: Meta programming for a multi- agent collaborative framework.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? MetaGPT: Meta programming for a multi- agent collaborative framework

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:d401b32924746001da8e63089ab29462f50c2b778307c5b673164a2945b29ec9

Observation 725f2ded-2306-4da5-9f35-62e48e36b095 · outbound

This paper cites White, Doug Burger, and Chi Wang.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? White, Doug Burger, and Chi Wang

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:c9a51b99e7a6a7dac586d05c9b2a13769ab7a8787742b365677235c84c256639

Observation 128d0c2c-59f3-4afb-b5c0-f64f706fdca4 · outbound

This paper cites AFlow: Automating agentic workflow generation.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? AFlow: Automating agentic workflow generation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:84fff2a3c5383839cdb4907059113e4766df5f3fc8731c777266561629a7fd56

Observation 312bf45a-3e35-478d-9158-2505920ddfb0 · outbound

This paper cites Meyarivan.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Meyarivan

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:dd00addb9c81e37f4faebaa86cef98054a22b51af0e5db01312a1d3c2d3c0984

Observation 12f1cd35-8640-4bf9-8345-6d009f996081 · outbound

This paper cites Project Data Sphere: Data access.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Project Data Sphere: Data access

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:82c35f0ac624a5908b3154402976d22e8f9cf99d596e60198af683a8b8ee719e

Observation ffd7d5d9-a07f-4390-aa6b-d0ba88e1e142 · outbound

This paper cites Green, Katherine E.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Green, Katherine E

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:fd1f760b7cc0a44a9aea07f060fc4bb9f2b6ba8259d327114e65d619b7a124c6

Observation 102d3894-0402-486b-b8ed-05883f0297b2 · outbound

This paper cites an unresolved cited work.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:319038b30c2cb88c0f98b1380e057e683bcfcaa569ee749c0203f978fe405c3e

Observation 6f0afae0-8d68-4ade-9901-23be9402f959 · outbound

This paper cites an unresolved cited work.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:f2b24376a4096fac4c3dcc51416a72582586b803957f19c299463e819cd66bfb

Observation 3b1c3ff9-c46a-4d77-9950-402f9882fa81 · outbound

This paper cites Keenan, Sherry L.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Keenan, Sherry L

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:b15b37b7c114125429efb486c6fc383de2b19a8ff8b26723090de825ed536f01

Observation 2c24335f-9b3f-4402-a71b-873a11fea129 · outbound

This paper cites Cooper, John P.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Cooper, John P

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:da1b52154210e1df7961715252d89ac34e43403e05749db699e9a2c657ab3881

Observation 6e5af9f7-8e8e-4445-964d-855bfe092369 · outbound

This paper cites The relationship between precision-recall and ROC curves.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? The relationship between precision-recall and ROC curves

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:115bbafcbe3cfef7a1ab5d57d5ce778733739285790c416771546df4bdee2ce2

Observation d7754396-ae72-4512-b0ed-05182779b376 · outbound

This paper cites The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets.PLOS ONE, 10(3):e0118432, 2015.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets.PLOS ONE, 10(3):e0118432, 2015

Reference 26

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:e1d2ca87de0f6ce9834ae62167fbac51358e0ea94318b37c506755b894ec84f6

Observation c2c4a1a4-7965-4be0-8428-5a7a80cc7694 · outbound

This paper cites A systematic analysis of performance measures for classification tasks.Information Processing & Management, 45(4):427–437, 2009.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? A systematic analysis of performance measures for classification tasks.Information Processing & Management, 45(4):427–437, 2009

Reference 27

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:a4f4dae28e63f273f262517904df15d3825afeb0ce7e8a1a16410fb6535135ea

Observation 94e07518-8448-4958-8e91-0af0df92a547 · outbound

This paper cites Qwen/Qwen3.5-9B model card.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Qwen/Qwen3.5-9B model card

Reference 28

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:1aef6a2f330b26212c07de7c536e952bb2783d5a12d672497f3412a7cc88dab6

Observation a4a67394-22b9-4b53-b0a0-26e57b6dede2 · outbound

This paper cites GLM-4.5-Air model card.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? GLM-4.5-Air model card

Reference 29

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:b0d81d741936a59256a1fa9a775e73f1117be65db6e4ea4ff0f72930b1d79c00

Observation 2e07fb0d-8189-4c0e-b34f-b33de3dcff02 · outbound

This paper cites Qwen3: Think deeper, act faster.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Qwen3: Think deeper, act faster

Reference 30

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:ec48cca49e99123908cd11e8e148ed7acce40995df86352358c57d58613371db

Observation 094ee313-e0ee-4e22-8009-13439399d5b6 · outbound

This paper cites Qwen/Qwen3.5-27B model card.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Qwen/Qwen3.5-27B model card

Reference 31

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:2b34a8de0945cf0f9d2b94110ebc9a5ab77a9b0b0697d1f8ed21d153e5f14250

Observation be690e78-387f-4b38-8248-1ac03c227879 · outbound

This paper cites DeepSeek-V3.2 release.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? DeepSeek-V3.2 release

Reference 32

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:a56564fb7e4268819524e7de50f03e643e220d1f35e5a44bd81dd9526dc41fc5

Observation 24a1ae64-6ffd-4129-8b25-7e16080d3074 · outbound

This paper cites ClinicalTrials.gov record for NCT00174655.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? ClinicalTrials.gov record for NCT00174655

Reference 33

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:39f4d7f60ae6a34960e895aaaf5e4cc1d7757ecc49cb0ce4e2c1359295cb6d6b

Observation 3c64e95f-0c95-47fd-859d-015a73ec2fc6 · outbound

This paper cites ClinicalTrials.gov record for NCT02491333.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? ClinicalTrials.gov record for NCT02491333

Reference 34

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:619a55cbeebb9140d8b8b1352f61d4f7baf9a6aedab44e2bf05fdc6fa4616ec9

Observation e5970518-bd80-43f9-a864-319d414bde63 · outbound

This paper cites Rothwell.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Rothwell

Reference 35

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:90bbff0a673c4c52bfd3270f07d1689fb7d2649a8a6a17aa4171fbdded9c4422

Observation 1530823e-0092-4654-adbe-09477ceb75d7 · outbound

This paper cites Kent, Jessica K.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Kent, Jessica K

Reference 36

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:2e096721d25f68c124866a72eb232d895ac9f64d6dde101cbdfaf75aa8693278

Observation 9b60c8af-1e37-4cea-8871-10a45286ac99 · outbound

This paper cites Mesirov, and Pablo Tamayo.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Mesirov, and Pablo Tamayo

Reference 37

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:29572afdcc64f1cefa838cf871758a9baf3a237a6e866d019fbae50fd23b1857

Observation 6248d2b5-d78d-4f06-90f8-f5d77581f538 · outbound

This paper cites Qwen3.5: Towards native multimodal agents.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? Qwen3.5: Towards native multimodal agents

Reference 38

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:f265fd0ea87bff2c3c89618411816a6d36f20bc22f89cb3c399df17fc405a32d

Observation ebb1ea3d-baa1-4fd0-9ef2-32db10e0f056 · outbound

This paper cites An introduction to ROC analysis.Pattern Recognition Letters, 27(8):861–874, 2006.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? An introduction to ROC analysis.Pattern Recognition Letters, 27(8):861–874, 2006

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:30ce43b7ee9506ebeb958bb52751b3188f7b9c84544c1c1a75e4172553122531

Observation 02d7e115-ec76-412b-9664-5eb1812beca9 · outbound

This paper cites scenario_context.

Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? scenario_context

Reference 40

Resolution
malformed identifier
no resolver link, observed 2026-06-29T17:33:33.791346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T17:33:33.791346Z digest=sha256:15b1a0187418ea7d06a4fcacff00e6c73aed6de1797d0f5a7a168a93a563e3af

Pith citing papers

No inbound Pith citation observations are available.