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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:46:00.495096Z digest=sha256:c2e85b29f4770ab7f1dcf7eb0db4dd97d758fb7c82021433b13bf4348915f11a

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:e884a18e46e88efbacbd01b5adfffd07ac75444ac26ca28215b191de46263b97

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:46:00.683905Z digest=sha256:9ef9a505ff1e45855f7a68f3806d88ea1137d4110bd805b5a0a0e36ecbf30658

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=sha256:6ce26d8c699b7d43e24cdd21a23f854622fcb36a1193e50f5bf9ee051eb97efd

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=sha256:0c5164258a729e419a2d50eaaacd9e1ed90fbb85eba3d6b75c6e11d1a067a29b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:46:01.135011Z digest=sha256:a06b22e548374df467724ae77273ca085354c0cb16eee9c4b59f01fcce8439c3

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=sha256:3af5b1ccd28f1cf43108747f3f10bef04b595e748f5d5afa49360687c7b2413d

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=sha256:51ba5066c0e9fa14e59c416871eab047f222a67350d594f8d08ee6689ed71510

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:46:01.551688Z digest=sha256:b16dd8c259304de23907464cfc454dcf9a0dd3f41658ee1d110c76a01e67ec82

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:46:01.630824Z digest=sha256:716545635ebf696efc91e106b3b4e8ce47e585380f29359e2215b938b021e2c3

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=sha256:6062deb01283671ffb0264ec3f13cad51765001da1908fa8f4202154f7bc6e1e

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=sha256:899bdda152fe183a6a8e744ef806f77370b1268ac68c5bf60ada321ad8fcdca1

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=sha256:51d37a67b143bbbbc0b1a3a265c1844ae9107a398ca29625df2450532e49b989

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=sha256:29ca735fe950fe827cc18f089114bea90c905840828dd4601a8890e230547ffb

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=sha256:003264bee1573bad508487359e3da9cef5ec989aabc6f4155668f979b72e16c5

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=sha256:0c331f2c8c6a0c6907ae8f8ad5ebe2cfefe77f2386ac4627c371682ae18ba7f3

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=sha256:3f62b8920525124d24ad2788fe7e98977b61ad3ec46c57a27065ffa22bc85ebb

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=sha256:726b3343d2a878789fdaa0e323d219773f4ffcfb592a1980b88ca4144db36f2a

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=sha256:2e2084ee1f6ee056afce610a4acaa3a23e07e59edd1a2747b9530ce9708f8f6a

Pith citing papers

No inbound Pith citation observations are available.