Paper Citation Record · LEDGER

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation

As of 9 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2607.10628.

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

pith.paper-citation-record.v1
2607.10628 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T10:22:25.722701Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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 4960bf0c-6c13-4933-bfe9-dc90fe4fc6f0 · outbound

This paper cites Proceedings of the 2024 conference on empirical methods in natural language processing , pages=.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation Proceedings of the 2024 conference on empirical methods in natural language processing , pages=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7884c7f5-97b8-400d-9b77-b7110a58cba3 · outbound

This paper cites Second Conference on Language Modeling , year=.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation Second Conference on Language Modeling , year=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0d66694-a4a6-44b7-9dfd-42a979ac0afe · outbound

This paper cites International conference on machine learning , pages=.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation International conference on machine learning , pages=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c900c66-0c26-42ac-8e3b-5909e1fc6c8b · outbound

This paper cites an unresolved cited work.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 359253a0-4b0c-462e-bc96-d583f6301855 · outbound

This paper cites Nature Machine Intelligence , volume=.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation Nature Machine Intelligence , volume=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7ad76c7-12fa-42b5-afec-f20403e39c6a · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c90f1fbf-c608-4562-8ddc-17ef670881fe · outbound

This paper cites 2026 , organization =.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation 2026 , organization =

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 916a9974-8096-4129-ab68-596ccb95e04d · outbound

This paper cites 2026 , organization =.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation 2026 , organization =

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9e1aaec-8293-44c7-babe-b11afb80ea38 · outbound

This paper cites 2026 , organization =.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation 2026 , organization =

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b3466b5-ff07-47f8-a4d4-adf191ca7d3f · outbound

This paper cites an unresolved cited work.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc9fb06d-b483-4d19-82c9-50eeed02f51f · outbound

This paper cites an unresolved cited work.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42aff8d0-a96c-4642-bd3e-add3192d468f · outbound

This paper cites CLAIR: Evaluating Image Captions with Large Language Models.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation CLAIR: Evaluating Image Captions with Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4225ded-034c-4924-a4f5-34b84d9dd53c · outbound

This paper cites LLM Generated Persona is a Promise with a Catch.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation LLM Generated Persona is a Promise with a Catch

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3de4f64-521c-4c91-815a-05ae2ef05d8b · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee4022ab-9854-4b54-af02-cb10a3933d42 · outbound

This paper cites LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3683b842-a2e8-4a5d-8c60-6c2eec09d6cc · outbound

This paper cites Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aafe6c6-d813-4d38-85b3-3ce935674a63 · outbound

This paper cites 2020 , url=.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation 2020 , url=

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b89851b5-87e6-4453-8213-8bf393d3b35b · outbound

This paper cites Humor in Collective Discourse: Unsupervised Funniness Detection in The New Yorker Cartoon Caption Contest.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation Humor in Collective Discourse: Unsupervised Funniness Detection in The New Yorker Cartoon Caption Contest

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcda9522-443a-4772-a146-7e1c13ce21dd · outbound

This paper cites KDD , year=.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation KDD , year=

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.