Paper Citation Record · LEDGER

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement

As of 4 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2605.30981.

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

pith.paper-citation-record.v1
2605.30981 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T22:27:18.733371Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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 exact13
verified fuzzy0
unresolved4
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba33aa92-8792-4c20-bafb-20e3ab849db3 · outbound

This paper cites Large language models hallucination: A comprehen- sive survey.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement Large language models hallucination: A comprehen- sive survey

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:32:44.491146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6cfab589-4b3d-4a45-9aa1-08e182a4eb7a · outbound

This paper cites Layer Normalization.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement Layer Normalization

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:32:44.486463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2b9426d0-5931-4c0d-b423-65b67fc57efd · outbound

This paper cites Extending Context Window of Large Language Models via Positional Interpolation.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement Extending Context Window of Large Language Models via Positional Interpolation

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:32:44.493410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e413e2b9-22cb-47a5-849c-b33a3364ef8b · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement QLoRA: Efficient Finetuning of Quantized LLMs

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:32:44.509034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1a1f43ae-e949-46ea-832f-75420d219095 · outbound

This paper cites Farquhar, S., Kossen, J., Kuhn, L., and Gal, Y.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement Farquhar, S., Kossen, J., Kuhn, L., and Gal, Y

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T22:27:18.733371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0fb2904-d8cc-4377-9023-5a6f0f54322e · outbound

This paper cites How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:32:44.505968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 32ffdb9d-4114-46c5-a43a-fe920357ee59 · outbound

This paper cites Training llms for honesty via confessions.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement Training llms for honesty via confessions

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:32:44.500911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 67611f92-d4b1-46dc-a527-12d72b3e88a8 · outbound

This paper cites and Zheng, R.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement and Zheng, R

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:32:44.496202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b3ea0b99-617b-4a71-82e4-d6c69cb63237 · outbound

This paper cites Prototype-based dynamic steering for large language models.arXiv preprint arXiv:2510.05498.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement Prototype-based dynamic steering for large language models.arXiv preprint arXiv:2510.05498

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:32:44.498629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 296a6f3a-b8de-48c8-84c8-c9bf35cbe83b · outbound

This paper cites A Diversity-Promoting Objective Function for Neural Conversation Models.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement A Diversity-Promoting Objective Function for Neural Conversation Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:32:44.503377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1f4274a9-6296-43d1-8040-46346938f1fc · outbound

This paper cites Measuring and Controlling Instruction (In)Stability in Language Model Dialogs.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement Measuring and Controlling Instruction (In)Stability in Language Model Dialogs

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:32:44.483891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 85c18ae0-09f9-42c3-9ed0-d105de3f0cfb · outbound

This paper cites YaRN: Efficient Context Window Extension of Large Language Models.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement YaRN: Efficient Context Window Extension of Large Language Models

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:32:44.488889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c053d62c-2d77-4eaa-a498-0bae8b1aa766 · outbound

This paper cites InFoBench: Evaluating instruction following ability in large language models.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement InFoBench: Evaluating instruction following ability in large language models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T22:27:18.733371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4308e478-6242-4792-9bcd-62ae7c6d73ef · outbound

This paper cites SQuAD: 100,000+ questions for machine comprehension of text.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement SQuAD: 100,000+ questions for machine comprehension of text

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T22:27:18.733371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 540a5444-0d9e-4de3-94c7-9e734005b12c · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:32:44.476264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fa52b6fc-21d8-4e99-8402-84143167c5c4 · outbound

This paper cites W., Salakhutdinov, R., and Manning, C.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement W., Salakhutdinov, R., and Manning, C

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T22:27:18.733371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41ab698e-199e-478c-90da-0f1902a7bedb · outbound

This paper cites Recursive Language Models.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement Recursive Language Models

Reference 17

Resolution: malformed identifier; local_arxiv, observed 2026-06-28T22:32:44.478578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c4658772-3308-4078-a1c9-378023244285 · outbound

This paper cites EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:32:44.481421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a4e3b67d-9a57-4a74-a860-cc7d22f7b047 · outbound

This paper cites Fixed Defaults and Calibration Table 6.Fixed defaults used in all Fatigue Index (FI) experiments.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement Fixed Defaults and Calibration Table 6.Fixed defaults used in all Fatigue Index (FI) experiments

Reference 19

Resolution: malformed identifier; no resolver link, observed 2026-06-28T22:27:18.733371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.