Paper Citation Record · LEDGER

PhantomFill: When the Form Demands an Answer, Language Models Invent One

As of 10 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.20492.

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

pith.paper-citation-record.v1
2607.20492 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:44:10.317641Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

14 of 14 outbound references displayed

verified exact0
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 74a44ba4-2fd4-4633-ac9c-09ca3d76c812 · outbound

This paper cites AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions.

PhantomFill: When the Form Demands an Answer, Language Models Invent One AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T11:44:08.839651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a583c9b-285d-4578-9dd6-840aeecac3cc · outbound

This paper cites Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models.

PhantomFill: When the Form Demands an Answer, Language Models Invent One Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T11:44:08.925210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d547baa5-d031-4a6e-b037-eb75e2b24a50 · outbound

This paper cites Know Your Limits: A Survey of Abstention in Large Language Models.

PhantomFill: When the Form Demands an Answer, Language Models Invent One Know Your Limits: A Survey of Abstention in Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T11:44:09.020863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f20880b-9929-42e3-ba90-54b0949ec186 · outbound

This paper cites The Structured Output Benchmark: A Multi-Source Benchmark for Evaluating Structured Output Quality in Large Language Models.

PhantomFill: When the Form Demands an Answer, Language Models Invent One The Structured Output Benchmark: A Multi-Source Benchmark for Evaluating Structured Output Quality in Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T11:44:09.098267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 189f6ffe-90c6-4386-a484-806d21b2cb94 · outbound

This paper cites an unresolved cited work.

PhantomFill: When the Form Demands an Answer, Language Models Invent One Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T11:44:09.149278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff90d213-99b1-4760-9a80-3b8e7b4b707b · outbound

This paper cites Efficient Guided Generation for Large Language Models.

PhantomFill: When the Form Demands an Answer, Language Models Invent One Efficient Guided Generation for Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T11:44:09.204006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11751286-29c6-4332-b684-b0c54d32dc01 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

PhantomFill: When the Form Demands an Answer, Language Models Invent One A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T11:44:09.390005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c765be9-e3e7-439f-8b31-4947fb690242 · outbound

This paper cites Survey of Hallucination in Natural Language Generation.

PhantomFill: When the Form Demands an Answer, Language Models Invent One Survey of Hallucination in Natural Language Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T11:44:09.589133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f22df929-7cc1-45d6-82c3-d87dfa6c873e · outbound

This paper cites Know What You Don't Know: Unanswerable Questions for SQuAD.

PhantomFill: When the Form Demands an Answer, Language Models Invent One Know What You Don't Know: Unanswerable Questions for SQuAD

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T11:44:09.791515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9dfe6d9-032b-4365-a383-ec898dd15910 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

PhantomFill: When the Form Demands an Answer, Language Models Invent One TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T11:44:09.890046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d91c99f6-6562-4e36-9f7c-228135df9dc9 · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

PhantomFill: When the Form Demands an Answer, Language Models Invent One Towards Understanding Sycophancy in Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T11:44:09.983586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2e19489-7362-4265-a8e7-905445fc6c59 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

PhantomFill: When the Form Demands an Answer, Language Models Invent One Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T11:44:10.070358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b13270-69ad-41fe-b9fe-ff0fd47513e6 · outbound

This paper cites R-Tuning: Instructing Large Language Models to Say `I Don't Know'.

PhantomFill: When the Form Demands an Answer, Language Models Invent One R-Tuning: Instructing Large Language Models to Say `I Don't Know'

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T11:44:10.168519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad3c1156-e091-4a59-b511-3ae265753e4e · outbound

This paper cites Adversarial Feeds Steer LLM Agent Decisions Against Their Defaults.

PhantomFill: When the Form Demands an Answer, Language Models Invent One Adversarial Feeds Steer LLM Agent Decisions Against Their Defaults

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T11:44:10.317641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.