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Paper Citation Record · LEDGER

Questioning the Survey Responses of Large Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2306.07951.

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

pith.paper-citation-record.v1
2306.07951 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:42:05.170047Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

19
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 93a5d7d7-4e57-4b56-9d84-83e5d9d398a6 · inbound

AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction cites this paper.

AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction Questioning the Survey Responses of Large Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:49:13.956827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-24T08:47:23.231930Z digest=sha256:2d97efe25ffe3d39f3066de6e7bc2ddc18cf50438e4102aa37702e43e3aa696a

Observation 25d8d07b-2b5a-4cbd-b5ed-d638071231e4 · inbound

A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI cites this paper.

A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI Questioning the Survey Responses of Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T12:42:05.170047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:42:05.170047Z digest=sha256:43fccecfbf0472f89c815f6de7894b3c7d777030311150847060a816cf633b99

Observation 8f23d0de-e644-4cf7-bfef-8de73f828cc9 · inbound

Exploring LLMs for Automated Generation and Adaptation of Questionnaires cites this paper.

Exploring LLMs for Automated Generation and Adaptation of Questionnaires Questioning the Survey Responses of Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T21:09:19.210076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:19.210076Z digest=sha256:54a282e388e90185d26ac139d0d5c6c3b51466dcefd4a624bd44bd4b178e093f

Observation 696847f9-6bb1-4da1-8c23-928e98a7667a · inbound

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations cites this paper.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Questioning the Survey Responses of Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T13:59:29.275601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:59:29.275601Z digest=sha256:651fbc28e81b755fe4b72e885072269da73e59af3bb1b4f3cda5aea3b4f0900d

Observation 3386b865-c772-45c3-854e-6c61816af70f · inbound

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions cites this paper.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Questioning the Survey Responses of Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T19:40:06.423425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:40:06.423425Z digest=sha256:62474d826212bd5257114a649a9e11d9cda3b489c5d31e5db2eb20d51e28ae2b

Observation 74ead6b2-65ee-45c7-b160-8e8c8091a4f9 · inbound

Position: Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead cites this paper.

Position: Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead Questioning the Survey Responses of Large Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-19T02:12:55.715480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T02:12:48.586913Z digest=sha256:b21cabe44737507ae8ac5e0e9926577d17a03915d1ad2d782647435e5251cdc5

Observation cc35e69c-85e2-4112-9891-c54e9dc795b8 · inbound

Graph-Based Alternatives to LLMs for Human Simulation cites this paper.

Graph-Based Alternatives to LLMs for Human Simulation Questioning the Survey Responses of Large Language Models

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T00:50:33.381493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-18T00:47:40.432039Z digest=sha256:b6da3071f0ff566fed9e3df0ae6f52637e92518839d10f94c9b571c0f3a17f50

Observation d29cd857-f877-404b-a870-00ef31d0eb44 · inbound

Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation cites this paper.

Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation Questioning the Survey Responses of Large Language Models

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T21:33:29.602937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-09T17:23:50.486306Z digest=sha256:cbb7b94963ebf3d5d340b4a7c15f87df2659c5a78da21b90cc1c65ae5d085e64

Observation aeb0e17a-de88-4e9d-86d2-2e8a196cb308 · inbound

Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication cites this paper.

Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication Questioning the Survey Responses of Large Language Models

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T19:05:00.266387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-30T19:04:36.443335Z digest=sha256:ffa08d51b1bbc4180628ed2a8b4ae0f2b039c792c315d38560fd14f4203bee97

Observation 0d59d8e9-7c70-4b53-80cd-1104713ab0f5 · inbound

Not-quite-human tastes: the stylized omnivorousness of LLM survey surrogates cites this paper.

Not-quite-human tastes: the stylized omnivorousness of LLM survey surrogates Questioning the Survey Responses of Large Language Models

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:24:18.632570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T06:15:48.842327Z digest=sha256:c03cb1a13950de9167aeff00239abc7b1ddb3d6f9e03dad674fe2b06103913d2

Observation 3ee4cf4a-c5bb-44a9-97bb-ee8a6985c99a · inbound

When Counterbalancing Hides the Bias: Access-Conditioned Position Lock in Forced-Choice LLM Evaluation cites this paper.

When Counterbalancing Hides the Bias: Access-Conditioned Position Lock in Forced-Choice LLM Evaluation Questioning the Survey Responses of Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-14T13:32:31.523845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T13:32:31.523845Z digest=sha256:85fbd655264abf724b0a39bd88e4ac81a054c2303d29fc0a3beda5afcfae45ca

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

The Two-Process Theory of Machine Self-Report cites this paper.

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

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T10:54:06.733241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:54:06.733241Z digest=sha256:8e80ade295f9d07ea2591d24860c6282e646317ca89a90a64941ee384e41f106

Observation e135b094-de2a-4904-95d8-b24f36098944 · inbound

More Is Not More: What Matters for Diversity in LLM Opinions? cites this paper.

More Is Not More: What Matters for Diversity in LLM Opinions? Questioning the Survey Responses of Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T14:33:31.525995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:33:31.525995Z digest=sha256:4fd35295abee2c15a4c7aea19cb1dbda4a26fd58c4fb70a2f11666538471f78c