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Paper Citation Record · LEDGER

Language Models Agree With Each Other, Not With Readers

As of 17 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2607.29274.

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

pith.paper-citation-record.v1
2607.29274 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:20:13.492647Z

measured 13 of 13 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:38:10.161728Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-04T22:38:10.338215Z

Reference resolution

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a792f21c-c9a0-4113-a764-433c12f92c40 · outbound

This paper cites an unresolved cited work.

Language Models Agree With Each Other, Not With Readers Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T10:20:12.826604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:20:12.826604Z digest=sha256:876dc63f998c9f63ab392a878349ab8c51bf9cc8cb54a312445126d23ab535e2

Observation 673ae0f9-0809-4d7f-bcfc-37612f9bc258 · outbound

This paper cites Does Writing with Language Models Reduce Content Diversity?.

Language Models Agree With Each Other, Not With Readers Does Writing with Language Models Reduce Content Diversity?

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T10:20:12.873427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:20:12.873427Z digest=sha256:fdfe90616600db570907bf0466e3631a49f3d769694d04f58a6a1e904f187083

Observation dd27a251-0455-46f0-a463-1536140c4ef6 · outbound

This paper cites Gilardi, M.

Language Models Agree With Each Other, Not With Readers Gilardi, M

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T10:20:12.946161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:20:12.946161Z digest=sha256:ca2b7e31e24029d33d760fff7396041dee5eebdb20e7f2d62e3dc659e1eee66e

Observation 9664da98-6e47-449e-ac37-88e30918f897 · outbound

This paper cites Great Models Think Alike and this Undermines AI Oversight.

Language Models Agree With Each Other, Not With Readers Great Models Think Alike and this Undermines AI Oversight

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T10:20:13.027463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:20:13.027463Z digest=sha256:338843d1912e9f8079014afaf98a81a4297e1fc49060983bec8991f543f98b4b

Observation 4531c188-a4f0-488a-89c9-158b83af1761 · outbound

This paper cites Behavioral Analysis of Information Salience in Large Language Models.

Language Models Agree With Each Other, Not With Readers Behavioral Analysis of Information Salience in Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T10:20:13.088001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:20:13.088001Z digest=sha256:418c0ffa7eaeae1673628547b82e49198edf09ec3a6baa329f230848c6268f6d

Observation 0ddc6f45-88e6-4e93-93bf-b9bac1c69eb6 · outbound

This paper cites Testing the Reliability of ChatGPT for Text Annotation and Classification: A Cautionary Remark.

Language Models Agree With Each Other, Not With Readers Testing the Reliability of ChatGPT for Text Annotation and Classification: A Cautionary Remark

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T10:20:13.152597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:20:13.152597Z digest=sha256:25662796b32fa061570fec0fefe1d74d89cd4e4f71499b5034c2b9618e836065

Observation 4052d9e6-17e9-4d54-8d05-1e053e8d5a39 · outbound

This paper cites an unresolved cited work.

Language Models Agree With Each Other, Not With Readers Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T10:20:13.190445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:20:13.190445Z digest=sha256:7882b155db439c3c49781b0cb106c25abed4c1498c278476fc0b76b440ef5040

Observation 4ce661e1-482d-4e0c-9f5c-afbe61539fec · outbound

This paper cites Kleinberg and M.

Language Models Agree With Each Other, Not With Readers Kleinberg and M

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T10:20:13.273956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:20:13.273956Z digest=sha256:b76d1a5fbdbecd5d69e2000a078b74674ea7552cd79df2322028d8f0b8ce2294

Observation 3e5da9e5-0ff2-4557-b1c9-2c7fceb95fb3 · outbound

This paper cites Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?.

Language Models Agree With Each Other, Not With Readers Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T10:20:13.304954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:20:13.304954Z digest=sha256:6e68256d9935ef3d18e20a7723fc2d8dffd69b47789b271dd0a4b2cc997db42c

Observation 186afe68-d465-4be1-9b47-a35ceef07821 · outbound

This paper cites an unresolved cited work.

Language Models Agree With Each Other, Not With Readers Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T10:20:13.383717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:20:13.383717Z digest=sha256:c9711d7afab08c6639abd5858f2db25bf2b02b37d8f791480582d83798590ac3

Observation 373395e0-76df-4816-afaf-20b33efc5331 · outbound

This paper cites an unresolved cited work.

Language Models Agree With Each Other, Not With Readers Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T10:20:13.427143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:20:13.427143Z digest=sha256:4d0e29a6099af70e139de724d01f34b1f38eac19786c270e265f0553c6391215

Observation b5ee8390-b019-4969-adb0-fdedacb5e644 · outbound

This paper cites Measuring Alignment With Reader Highlights Net of Position and Length.

Language Models Agree With Each Other, Not With Readers Measuring Alignment With Reader Highlights Net of Position and Length

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T10:20:13.492647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:20:13.492647Z digest=sha256:94b226ed38cc4f49fda1121542a73a9afea1af24b9625d8caabd61e93034705b

Pith citing papers

Observation 590ebf92-5e13-49b6-95b9-b58a8b9ffdd3 · inbound

Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? cites this paper.

Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? Language Models Agree With Each Other, Not With Readers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-04T22:38:10.341865Z

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=2026-08-04T22:38:10.161728Z digest=sha256:c1acfdc058e65690a49acc5bd02b5635a042741f58e386687224188048d59a80