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Paper Citation Record · LEDGER

The Two-Process Theory of Machine Self-Report

As of 8 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 2026-08-08T06:32:00.761636+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

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=sha256:82a3cf5298a26be29a26a5effcc6f2d94c6423ae3466d20826d457101d7357c1

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:05.735003Z digest=sha256:87bad035f9f7ee877b33a9c8428af2a14382afb437d77fc6fbb1164de036a607

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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no resolver link, observed 2026-08-01T10:54:05.815117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:05.815117Z digest=sha256:3e2a4870d5419d6d4d21a84a252b011e511bbf5de3534fa80c945208d504fe0f

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:05.945263Z digest=sha256:363d4e3183e0cf4934f1ff2b9c3f73bb7ba3e06ad42af46e17a9cf125ce8dde4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-01T10:54:06.083949Z digest=sha256:8bc408e5a833242ca5389d540a05bef289483c9d0ebde8308f12cf6600501b21

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-01T10:54:06.161220Z digest=sha256:3a6a582e569b41aa4ec674c1041aae5a3e65f904be93653b2c0bc8397c42b765

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

Resolution
verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-01T10:54:06.234819Z digest=sha256:bf4eb5535852fc29caf85035ae52c2842bf0824fcc51825e19413794e88a82a5

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=sha256:486037c09a141b67a115eeac20b906f93278dee7af207b18eaaac07b790b6fc3

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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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T10:54:06.357700Z digest=sha256:a1b25223e588ae0bdad4407caca26e04ebc4ae981693d4bc96c3578815cbc29f

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=sha256:7591d4a4216088583ec625bbefc215525ea36ebf1ba64b3ea1c509c80a1cbbdf

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=sha256:481cba69bd15651cddb9614acc9cc42d2b29b749a927a06924b2f6e1d9694d54

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:06.644440Z digest=sha256:56a04bbe5bdc27501eaf8f266594a416cfcbd2b3373ff512480a19cdb97cccca

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=sha256:1e733225a13a847f803d29cfb83cb14fb31c79faee552e7951456882a10ed82e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-01T10:54:06.807206Z digest=sha256:ab649ab0d65d6e60dbc574caface04b8fd148782708604678bc0e6759030d910

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:06.911259Z digest=sha256:cd68a5f7e80de471b3cc00a227d2a902c4103c01af90af3a7a93143d1d2cbed1

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

Resolution
verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-01T10:54:06.953631Z digest=sha256:991d6cb5433c1069db2fcfc44333d29e576402470fbeb2c830a7d64330d10dd7

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=sha256:01e585dc757d01981724357d3d5f9b59cb04ce4bb405fe0657c0a6987e2bf36d

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:d85a09749fe6aef6c3bd382a3f7dd5d98404d9866b834426cb9b43f51b8176f5

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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no resolver link, observed 2026-08-01T10:54:07.294821Z

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source=arxiv_source observed=2026-08-01T10:54:07.294821Z digest=sha256:251d77dde469783209c42fb0a302afa11fc00b278df1ff353776495d36b11402

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=sha256:34bd06ad8646fc4e0a96a5c2761a416cda5376d88c3979c9fd4d47a3915555fd

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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no resolver link, observed 2026-08-01T10:54:07.707609Z

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source=arxiv_source observed=2026-08-01T10:54:07.707609Z digest=sha256:44974aab55b2250bc79a938c8a1ec7a8801042e42d765cf349ea4f71bd02bbe2

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:f94f0923caaf25d126c44ff5c255e4d52acffd0f63c9b361afabba06ecf986de

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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verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-01T10:54:08.069394Z digest=sha256:93cc8dc523d5d2ddb8a1ef3fef4ec4ce65eb21be008ea900dc4ca4b7f85f6304

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:08.241693Z digest=sha256:5d51361d55d01d512749560a505a8722b411eb565289852122eeb54966a03277

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=sha256:5c4ccd2bba51c07635e26b26ae5bf28a8755f3bf9a8176a4f4867c3ea4f5ca6e

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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no resolver link, observed 2026-08-01T10:54:08.584693Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:08.584693Z digest=sha256:d3db32539e496e5a15a6f4bf1f91f12bd016055d84593434a0f83237491b6df0

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:08.763090Z digest=sha256:90fb1ad3b35e3564b651872550bb7417695cc0731774da83ed0442bab4bc4c00

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:08.904396Z digest=sha256:e8922a8b1dd1a0b6a11efbedb6921ec93a4ed0ea5a89dc7c0f70893f08f4e238

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-01T10:54:09.063886Z digest=sha256:0cff47b55c4e87e638d5b8aa9071103cdfbb2d069718cf3146861b18fbd02588

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:09.176145Z digest=sha256:c866beee6a36958c9d180d9b7d2ee07f99625d2ea86ea30996e601952479e61a

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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no resolver link, observed 2026-08-01T10:54:09.321133Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:09.321133Z digest=sha256:bf41fa5ff6077774c6bf08ed447a96e7c8fe1f09ef856713130f47703d066185

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:cd45d5e4ab06343ee9a185dd40482d043616ecae3d9685e97e3ad891e276ea4f

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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no resolver link, observed 2026-08-01T10:54:09.713717Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:09.713717Z digest=sha256:c516be799641777efef2b6cd67580ab22161970fc034f4d461c0eea32d05c2df

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=sha256:81a2e689d59651084b2be845892cf63ebf9240371e2d11fecc00f8b702825899

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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no resolver link, observed 2026-08-01T10:54:09.901292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:09.901292Z digest=sha256:a833bb0688a4d3be1c89f8d22bbb9ab642439fd85164845dc06a80d5eeda72f6

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=sha256:292c4ace0e61e617318be8d11bf97de9d5f9adf237516e675f07187d1c29f7c1

Pith citing papers

No inbound Pith citation observations are available.