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Paper Citation Record · LEDGER

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring

As of 8 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.09742.

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

pith.paper-citation-record.v1
2506.09742 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:46:01.751432Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05e9a982-2f11-413b-849d-1d68801594a0 · outbound

This paper cites an unresolved cited work.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:46:02.213877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:46:00.495096Z digest=sha256:8b829e36e9726c3300cc81851a0733e9fc5b43c4d25df0f62f6c14bcbd1fee7e

Observation 9077ab73-b445-4975-a891-206eddee2800 · outbound

This paper cites Towards a Personal Health Large Language Model.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Towards a Personal Health Large Language Model

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:00.590756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:00.590756Z digest=sha256:3a91ff8475405a8240d6df43e64d4abe3067b3a95a6848c25acc08b6d8823ec2

Observation 07dbb305-e8bb-4b99-b965-dfa81a8952e2 · outbound

This paper cites an unresolved cited work.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:46:02.198274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:46:00.683905Z digest=sha256:649f17543f0b1803d22df29f3712a95d7ce2e25c0e362e1d669d463bfacf456d

Observation 39f2c7b7-77dd-4690-a8ee-e4992749a898 · outbound

This paper cites Monitoring Machine Learning Models: Online Detection of Relevant Deviations.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Monitoring Machine Learning Models: Online Detection of Relevant Deviations

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:00.901067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:00.901067Z digest=sha256:3e72fc9eb8673cb97ea5478c1675e805845693e4b87984faacaf26958f96b578

Observation 0a9b3e9e-62a8-447b-8198-01144f90c903 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Measuring Massive Multitask Language Understanding

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:01.019596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:01.019596Z digest=sha256:eb2aeb0e9bb59ff81323040f4331f4327572288cabbe842981a3efb3ac790b66

Observation d5492ddf-5238-415c-b51a-95007cc5db5b · outbound

This paper cites an unresolved cited work.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:46:02.182212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:46:01.135011Z digest=sha256:042b4819ae4f0dee92243a88a1afb479e2fef84733c7406ff691c55a53e2c8e0

Observation 54918d75-2ddc-4d42-bc04-2f781efeef81 · outbound

This paper cites Detecting and Correcting for Label Shift with Black Box Predictors.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Detecting and Correcting for Label Shift with Black Box Predictors

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:01.305942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:01.305942Z digest=sha256:ff1ccf0c88269406532ba5f61d772c26c974893bfa4c784f9051d43c743909fe

Observation f5ca3f5c-57a2-48f5-8038-fd5795e58d0e · outbound

This paper cites Lundberg and Su-In Lee.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Lundberg and Su-In Lee

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:01.482800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:01.482800Z digest=sha256:8a0f825bf7a0d97b1d46598a425dd727db5a77d8458a67516371610cde666219

Observation 0e26d25f-3ebc-4bc7-a089-6a4a81b7a491 · outbound

This paper cites an unresolved cited work.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:46:02.156305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:46:01.551688Z digest=sha256:1a12dafca68064334a05330dc158ff14e2bdc253e036aebb3217b841eda27cbf

Observation d89e5695-7f23-4029-b8f6-ff935fd49a2e · outbound

This paper cites an unresolved cited work.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:46:02.142039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:46:01.630824Z digest=sha256:1b8c7e7d2e253b14a24d48b23478a1f0247185630f6ada33fae98abd79b1df02

Observation 8429af9c-d79e-4cab-a875-91727ae6a27d · outbound

This paper cites Sumers, Shunyu Yao, Karthik Narasimhan, and Thomas L.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Sumers, Shunyu Yao, Karthik Narasimhan, and Thomas L

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:01.684257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:01.684257Z digest=sha256:577b49b2c25ab262f3799802c32befb6f62d79de441742c3738da20f0ca140ff

Observation 65363487-c0aa-4eeb-bd38-7e6644539623 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring LLaMA: Open and Efficient Foundation Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:01.728828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:01.728828Z digest=sha256:be775499d5b6dac624d37fd2a5500fcee5b37d4e14ac8184eed0e50a8ebf3d5e

Observation c253239b-582f-4baf-acb9-66576be2f8ff · outbound

This paper cites Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:01.734015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:01.734015Z digest=sha256:70c4140026cc758a341e7f468cbcee70fd0b6b9def84a5e0474924ef3c7bb8f6

Observation 4fb8c908-9d78-42ff-b51d-c35bdafa476f · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Finetuned Language Models Are Zero-Shot Learners

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:01.738695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:01.738695Z digest=sha256:04e094f695efea3a8eec5b63a30fe739c81c33b70fd13ac48d9885c007b51e15

Observation e080eb06-a219-461a-beda-871635b1175b · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:01.743120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:01.743120Z digest=sha256:53504ecbc5fa61483748979957f707afe041646f63abb94953227b2f47ade39b

Observation 851e70e6-ccce-4ca7-8f4e-125ae0f5387b · outbound

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

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring ReAct: Synergizing Reasoning and Acting in Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:01.747269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:01.747269Z digest=sha256:e1e626669cb835e7fb146133918c59957157a186189ca489fc1fcc0e406df140

Observation 9e302e3c-d8e2-4fdd-bb80-18bc5bbe95df · outbound

This paper cites Self-Discover: Large Language Models Self-Compose Reasoning Structures.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:01.751432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:01.751432Z digest=sha256:36d6ec571f1a1f248a37349d034d6c4cda121ff5556b0af06140b8d9ace6a3c6

Observation c73c4f25-acc6-4d1b-aec4-f11d0a28509d · outbound

This paper cites In2022 IEEE International Conference on Big Data (Big Data).

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring In2022 IEEE International Conference on Big Data (Big Data)

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:00.806822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:00.806822Z digest=sha256:ddded7c34808dea8c75e49997b4a68caeb784d7006c528fd19bd366174c30959

Observation dfbb2c59-456d-48a1-a973-a84a545d3647 · outbound

This paper cites Cognitive Architectures for Language Agents.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Cognitive Architectures for Language Agents

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:01.721864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:01.721864Z digest=sha256:22f39ada89e3fc84c5005c0a5b69c53e071a3efc7f1883b36538ef4d075157db

Pith citing papers

No inbound Pith citation observations are available.