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Paper Citation Record · LEDGER

The Two-Process Theory of Machine Self-Report

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.20082.

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

pith.paper-citation-record.v1
2607.20082 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:54:10.072599Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

36 of 36 outbound references displayed

  • verified exact8
  • verified fuzzy0
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ad0e83e-2ff4-4cb6-bb9a-ca5f85ec7764 · outbound

This paper cites Discovering Language Model Behaviors with Model-Written Evaluations.

The Two-Process Theory of Machine Self-Report Discovering Language Model Behaviors with Model-Written Evaluations

Reference 1

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no resolver link, observed 2026-08-01T10:54:05.634520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:05.634520Z digest=sha256:0a2ad6be4f4446de2f111efd24d823a5e0acc0182e88aafeb4a3d21de72220f8

Observation be22df3f-031b-4672-9ed1-49415c67f15f · outbound

This paper cites Challenging the Validity of Personality Tests for Large Language Models.

The Two-Process Theory of Machine Self-Report Challenging the Validity of Personality Tests for Large Language Models

Reference 2

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no resolver link, observed 2026-08-01T10:54:05.735003Z

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source=arxiv_source observed=2026-08-01T10:54:05.735003Z digest=sha256:b4a9b399410e8e568bdac38a93e8cf6fdfb2b06f4d8ca9b8eddd527f1456ecbb

Observation a4a2a65f-e824-46e8-8127-af6bb0d62e87 · outbound

This paper cites an unresolved cited work.

The Two-Process Theory of Machine Self-Report Unresolved cited work

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:05.815117Z digest=sha256:c8b39c755ac2eabe3797f90a271a4b49691befc3f6f73e20f4949b3170286302

Observation 322dcc06-92bb-4910-b094-69002f5498d6 · outbound

This paper cites Journal of Personality and Social Psychology , author =.

The Two-Process Theory of Machine Self-Report Journal of Personality and Social Psychology , author =

Reference 4

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no resolver link, observed 2026-08-01T10:54:05.945263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:05.945263Z digest=sha256:63c93f6583272fd96df4f864766275493a376b5a0343bd97ca24ea74e988c764

Observation 63fc9a3e-db14-47bf-88b4-c600abdec8de · outbound

This paper cites an unresolved cited work.

The Two-Process Theory of Machine Self-Report Unresolved cited work

Reference 5

Resolution
verified exact
doi, observed 2026-08-01T10:58:32.394481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-01T10:54:06.083949Z digest=sha256:196b7763cc1be1d1f100973dcd942cc6726b4ca292d70da76a4ea9eb881dab83

Observation f803ae68-2140-40ed-924a-70026dd22bc8 · outbound

This paper cites Journal of Clinical Psychology , author =.

The Two-Process Theory of Machine Self-Report Journal of Clinical Psychology , author =

Reference 6

Resolution
verified exact
doi, observed 2026-08-01T10:58:32.122489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-01T10:54:06.161220Z digest=sha256:c7938856e744e069ade9fa31b0756124d5d5b442c4f311ed418905b8f9300dbd

Observation e7a5cdb5-c485-4467-8e8a-0b73c78d6953 · outbound

This paper cites The Pinocchio Dimension: Phenomenality of Experience as the Primary Axis of LLM Psychometric Differences.

The Two-Process Theory of Machine Self-Report The Pinocchio Dimension: Phenomenality of Experience as the Primary Axis of LLM Psychometric Differences

Reference 7

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local_arxiv, observed 2026-08-01T10:58:31.833253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-01T10:54:06.234819Z digest=sha256:bfaaac849dbde63eca86cc152824e0ebe8b8828e137d936234e31848a3afc582

Observation e9508304-7444-400f-81e3-62166b6affc6 · outbound

This paper cites Towards Evaluating AI Systems for Moral Status Using Self-Reports.

The Two-Process Theory of Machine Self-Report Towards Evaluating AI Systems for Moral Status Using Self-Reports

Reference 8

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T10:54:06.301593Z digest=sha256:e0860005908c209a45bf14cf97198d7b0df985c82dc0c9c99798e418c66b4348

Observation 70344ed6-1de1-4cad-a675-98172bb60eeb · outbound

This paper cites Taking AI Welfare Seriously.

The Two-Process Theory of Machine Self-Report Taking AI Welfare Seriously

Reference 9

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:06.357700Z digest=sha256:e021c2f54f0dc87b865db3d40b3ecbccd4fcf65cfface5421a0f5f58c8d95fd4

Observation 45cbc895-6aa8-4676-ab4e-df1a5e815a72 · outbound

This paper cites Who is GPT-3? An Exploration of Personality, Values and Demographics.

The Two-Process Theory of Machine Self-Report Who is GPT-3? An Exploration of Personality, Values and Demographics

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:06.445583Z digest=sha256:c61b3e47102294cde8ecacdecf5c422a60514e9a44981ce6c3fc21790d3646ce

Observation 03271a5f-08fa-4b19-aaae-6ed49f389840 · outbound

This paper cites 2024 , pages =.

The Two-Process Theory of Machine Self-Report 2024 , pages =

Reference 11

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source=arxiv_source observed=2026-08-01T10:54:06.518581Z digest=sha256:80a7bf31f30e1d51d2788d5211a4841737be6b4b910f8cdff90739bbe1b8fdcf

Observation d3d985aa-c4a9-4be6-b02a-3523be9cba0d · outbound

This paper cites Personality Traits in Large Language Models.

The Two-Process Theory of Machine Self-Report Personality Traits in Large Language Models

Reference 12

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source=arxiv_source observed=2026-08-01T10:54:06.644440Z digest=sha256:116e748b3c0cd2249151b8b5d0619a06ec759592cb7d102ce7b6104d84c38d6a

Observation 82416d6e-ae70-4dfb-a9f8-8f692c61b03d · outbound

This paper cites Questioning the Survey Responses of Large Language Models.

The Two-Process Theory of Machine Self-Report Questioning the Survey Responses of Large Language Models

Reference 13

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source=arxiv_source observed=2026-08-01T10:54:06.733241Z digest=sha256:18edb4d9d8d031c4a0fd139500284abf60b3c835a1d7d850a785fd35f459c6ab

Observation 393589a5-9260-449a-9564-dd2f1daf4bb1 · outbound

This paper cites International Journal of Psychology , author =.

The Two-Process Theory of Machine Self-Report International Journal of Psychology , author =

Reference 14

Resolution
verified exact
doi, observed 2026-08-01T10:58:31.285198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-01T10:54:06.807206Z digest=sha256:d54500925523c70fb42bc8f0525e4561626ecfde3cc65551adc5e39b0494b004

Observation d5f11567-033d-47da-a6ba-b158944fdd1e · outbound

This paper cites Human Psychometric Questionnaires Mischaracterize LLM Behavior.

The Two-Process Theory of Machine Self-Report Human Psychometric Questionnaires Mischaracterize LLM Behavior

Reference 15

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source=arxiv_source observed=2026-08-01T10:54:06.911259Z digest=sha256:b1c1b39d46f12c4f3bfcabc4e9f5e033e92f2a313e132a3ca2e947172a30b732

Observation 7b0baad1-cbc0-4167-b95d-371e8a143764 · outbound

This paper cites Apparent Psychological Profiles of Large Language Models are Largely a Measurement Artifact.

The Two-Process Theory of Machine Self-Report Apparent Psychological Profiles of Large Language Models are Largely a Measurement Artifact

Reference 16

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local_arxiv, observed 2026-08-01T10:58:31.168253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-01T10:54:06.953631Z digest=sha256:f4b696309f74de822a6a7ddca5d07b9d50b0ffad5d098f1a4cbde3d1890e6097

Observation d68b8979-80a3-4ae4-a977-994575b9117a · outbound

This paper cites , volume =.

The Two-Process Theory of Machine Self-Report , volume =

Reference 17

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:07.041446Z digest=sha256:6458d4ec19c0551ed001560891edd5755cae9814b45e06ca4f040b0dccc6b9ae

Observation a9dcf7e5-8388-4e83-bd62-fe3eb4fec217 · outbound

This paper cites Psychological Reports , author =.

The Two-Process Theory of Machine Self-Report Psychological Reports , author =

Reference 18

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no resolver link, observed 2026-08-01T10:54:07.126616Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:07.126616Z digest=sha256:98ee449201614ac869ea638b2ff9b3ba81f51bd643178d4c74de829650cdadbe

Observation f173d678-952b-41f2-9285-c782f01e4e4c · outbound

This paper cites , volume =.

The Two-Process Theory of Machine Self-Report , volume =

Reference 19

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source=arxiv_source observed=2026-08-01T10:54:07.294821Z digest=sha256:e06b5393d906ccd3912e8ebdee4b54de2184fbfee0d94067766debd0607b3acd

Observation 7e58c0d5-d937-4dfa-92b4-27fb927228f6 · outbound

This paper cites , volume =.

The Two-Process Theory of Machine Self-Report , volume =

Reference 20

Resolution
verified exact
doi, observed 2026-08-01T10:58:30.770713Z

Source-reported events for the cited work

correction dated 2004-09-28. Source: crossref record 10.1037/1040-3590.16.3.340->10.1037/1040-3590.12.1.102:correction, observed 2026-07-11T02:59:57.804591+00:00. This notice travels one citation hop only.

source=arxiv_source observed=2026-08-01T10:54:07.483867Z digest=sha256:6609b1a59da40f56886a9b8ff46a8a9b5bf8060df67030a0e010facaf7bfe317

Observation 1ac98b75-d4de-42b3-8fca-24ca0f5c9910 · outbound

This paper cites 2 OLMo 2 Furious.

The Two-Process Theory of Machine Self-Report 2 OLMo 2 Furious

Reference 21

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source=arxiv_source observed=2026-08-01T10:54:07.707609Z digest=sha256:e3232af2af43eeb37bc12e64b767c6c02aea1bdef479ba3783d38b86296f6f5a

Observation 4d6f7327-bbef-4f4b-82ad-eb503661d9cf · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

The Two-Process Theory of Machine Self-Report Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 22

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source=arxiv_source observed=2026-08-01T10:54:07.902638Z digest=sha256:771590a2bc62623e97d8a00d5f2c18b7d73b1f253667ceda26d9973a955a345d

Observation a86f1fbe-e2bb-4861-9cc4-935410c6ec98 · outbound

This paper cites , month = jun, year =.

The Two-Process Theory of Machine Self-Report , month = jun, year =

Reference 23

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doi, observed 2026-08-01T10:58:30.428720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-01T10:54:08.069394Z digest=sha256:f08c1dd9f6be9e85fc74ed7b6389c0e89831ce3c2a3d8c0557708907bb8b4d35

Observation 317093ff-4173-40f6-a459-1a1f2ef66b34 · outbound

This paper cites Methodology , author =.

The Two-Process Theory of Machine Self-Report Methodology , author =

Reference 24

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source=arxiv_source observed=2026-08-01T10:54:08.241693Z digest=sha256:4ae34c6648bef675628d41119a3b807aa514885deb4bf08de8e56e4650491de9

Observation 1d6e14f1-9287-45ee-963d-565c57104b30 · outbound

This paper cites Nature , author =.

The Two-Process Theory of Machine Self-Report Nature , author =

Reference 25

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source=arxiv_source observed=2026-08-01T10:54:08.413196Z digest=sha256:d393d59da86624094ce1cdbc8becbeb7c7be6d581cb15b7a05b2ba076506136b

Observation 25b6c93a-8d7d-40a5-841c-b0371acda514 · outbound

This paper cites Qwen3 Technical Report.

The Two-Process Theory of Machine Self-Report Qwen3 Technical Report

Reference 26

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source=arxiv_source observed=2026-08-01T10:54:08.584693Z digest=sha256:d0e95e8b1f4b475e9ca49ece67f8830cb67d79840b0b5e07b4170dbcba9b0c36

Observation 8467cac4-66e6-4b2f-b691-eff13c438dd8 · outbound

This paper cites Proceedings of the National Academy of Sciences , author =.

The Two-Process Theory of Machine Self-Report Proceedings of the National Academy of Sciences , author =

Reference 27

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source=arxiv_source observed=2026-08-01T10:54:08.763090Z digest=sha256:434ca7519bf846bf1f2908f2e8d9505bbf7bdcb4978d92a17fc181df1fe5192f

Observation 59184b18-8c41-410d-8212-afa4f4d5eeff · outbound

This paper cites Emergent.

The Two-Process Theory of Machine Self-Report Emergent

Reference 28

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no resolver link, observed 2026-08-01T10:54:08.904396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:08.904396Z digest=sha256:5791b819f48c8e7a2ab4dd40fa72986be119ccf107c90ed45f07c9b972543305

Observation 3193a5ea-7398-4404-b31d-0594b0558a77 · outbound

This paper cites , volume =.

The Two-Process Theory of Machine Self-Report , volume =

Reference 29

Resolution
verified exact
doi, observed 2026-08-01T10:58:30.153655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-01T10:54:09.063886Z digest=sha256:be28f07a7d4639e991507293e4b55602e22680149e2b718beedc39cac96a15bb

Observation 5e44b12b-4bab-47a8-ae54-f1fdaf61ac49 · outbound

This paper cites Political.

The Two-Process Theory of Machine Self-Report Political

Reference 30

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no resolver link, observed 2026-08-01T10:54:09.176145Z

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source=arxiv_source observed=2026-08-01T10:54:09.176145Z digest=sha256:a1a8f6010dfc1f1d46fde241aa93060961772e40d595f0bba713ee50294a2b79

Observation 01af3e5e-02ab-4fe0-bc2a-b282a7063502 · outbound

This paper cites Overcoming.

The Two-Process Theory of Machine Self-Report Overcoming

Reference 31

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:09.321133Z digest=sha256:03f503ddee9061db4a3b24af6006be9170c56bfc4e65a8ce1b6d9a1f7cf4c93c

Observation ca742cfa-692e-4c55-b9ea-afa9d535176b · outbound

This paper cites Towards Best Practices of Activation Patching in Language Models: Metrics and Methods.

The Two-Process Theory of Machine Self-Report Towards Best Practices of Activation Patching in Language Models: Metrics and Methods

Reference 32

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source=arxiv_source observed=2026-08-01T10:54:09.489723Z digest=sha256:8771e7413073d175787968116ad1a617422859424120c351b5d10d54ee6c4579

Observation d5275d5c-f11f-4b75-8176-1e06453d215c · outbound

This paper cites A General Language Assistant as a Laboratory for Alignment.

The Two-Process Theory of Machine Self-Report A General Language Assistant as a Laboratory for Alignment

Reference 33

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:09.713717Z digest=sha256:5b76dcc6fb26e7527be9bb670005a17fb65ac268f6f68ff87e36d7ac992b7939

Observation 24cc3d87-40e5-4547-9f71-6f91229b8cec · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

The Two-Process Theory of Machine Self-Report Constitutional AI: Harmlessness from AI Feedback

Reference 34

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:09.813893Z digest=sha256:8a4f36614dbb25e71dc1d4c3c9834320bdf5e6bf98a6b34e6797a4267231a379

Observation be16aaf4-b110-477b-a8dd-cbd25c4f6238 · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

The Two-Process Theory of Machine Self-Report Towards Understanding Sycophancy in Language Models

Reference 35

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:09.901292Z digest=sha256:cb020ea7cb3d21d023ae778df7a3b892673523647d30f9e6ca354e744a0c49c9

Observation a338b6a5-f829-4931-90a1-d6243f07aeb4 · outbound

This paper cites An LLM-Native Psychometric Instrument Reveals a Self-Report--Behavior Gap Across 25 Models.

The Two-Process Theory of Machine Self-Report An LLM-Native Psychometric Instrument Reveals a Self-Report--Behavior Gap Across 25 Models

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:10.072599Z digest=sha256:c25655619f93df84ce44ebdfaa17135e7dfa1dfdaa93d59d300de065196c4bb2

Pith citing papers

No inbound Pith citation observations are available.