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Paper Citation Record · LEDGER

Out-of-Distribution Detection and Selective Generation for Conditional Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2209.15558.

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

pith.paper-citation-record.v1
2209.15558 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:23:42.160385Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:57:15.338058Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fbda5082-a18b-4181-9837-72c64ac84e84 · inbound

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations cites this paper.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Out-of-Distribution Detection and Selective Generation for Conditional Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T11:23:42.160385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:42.160385Z digest=sha256:fb87132591be451c2877724d99f7302c0fe2a09903b4f9a9fd9ff582ef3e3f13

Observation f2405973-fc84-4e2d-bb6b-e1922e7df2a5 · inbound

Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs cites this paper.

Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs Out-of-Distribution Detection and Selective Generation for Conditional Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T15:56:02.649702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:56:02.649702Z digest=sha256:519de0036b894af7634eb6e479a568dcfe98c0a788a9658d25548cacc62d78b1

Observation 8a8a4b82-b748-4819-a66c-a0531cde9c5f · inbound

Decoding Memories: An Efficient Pipeline for Self-Consistency Hallucination Detection cites this paper.

Decoding Memories: An Efficient Pipeline for Self-Consistency Hallucination Detection Out-of-Distribution Detection and Selective Generation for Conditional Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T14:33:20.082786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:33:20.082786Z digest=sha256:f9f4c12f4186492c7c95490fa9a7e8ca27a7db949423f92eead615347f130aa9

Observation 322a01c9-005b-471c-a26b-952b46c237a0 · inbound

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection cites this paper.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection Out-of-Distribution Detection and Selective Generation for Conditional Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T10:50:32.751574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:50:32.751574Z digest=sha256:4d168148159ba945e0667f9b49a1016f67ed572a08f4bc41024c20bdb4ebb202

Observation 4e06e590-f73d-4f2c-851b-9ef1f7521b5d · inbound

From Competition to Collaboration: Designing Sustainable Mechanisms Between LLMs and Online Forums cites this paper.

From Competition to Collaboration: Designing Sustainable Mechanisms Between LLMs and Online Forums Out-of-Distribution Detection and Selective Generation for Conditional Language Models

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:47:33.230502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T07:42:48.141279Z digest=sha256:a451145d313c24f843b695cf94f601c3dd4b984ba6429cfa314c9ebdc6b22291

Observation 8fe2edd3-9f64-43e4-8c6d-6861573e4b2e · inbound

Learning Uncertainty from Sequential Internal Dispersion in Large Language Models cites this paper.

Learning Uncertainty from Sequential Internal Dispersion in Large Language Models Out-of-Distribution Detection and Selective Generation for Conditional Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:48:02.453223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T08:36:39.242766Z digest=sha256:b79fb84c53830af46d1a6516652b2590fb456d7319b6a48663dc8ac00d1756ef

Observation e8ec419e-aee6-4b86-9edf-d0fa430c6430 · inbound

Scaling Pretrained Representations Enables Label-Free Out-of-Distribution Detection Without Fine-Tuning cites this paper.

Scaling Pretrained Representations Enables Label-Free Out-of-Distribution Detection Without Fine-Tuning Out-of-Distribution Detection and Selective Generation for Conditional Language Models

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:36:08.970511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-08T14:58:21.993136Z digest=sha256:8f9aad5acd13e431a88adbb0a7c751fd33573d18c2da12455142ecc7416623e7

Observation a2db71ed-0555-4cdd-a801-19b2722cedf4 · inbound

Entropy Distribution as a Fingerprint for Hallucinations in Generative Models cites this paper.

Entropy Distribution as a Fingerprint for Hallucinations in Generative Models Out-of-Distribution Detection and Selective Generation for Conditional Language Models

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:13:26.655163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T12:10:43.626846Z digest=sha256:bfa361fae75797ebe14ef86397642d9d3f429fcbb9058b47b5b34f6c5b02583b

Observation 22143f51-b587-4724-b3f0-45851c0d03f8 · inbound

TriLens: Per-Layer Logit-Lens Entropy for White-Box Hallucination Detection cites this paper.

TriLens: Per-Layer Logit-Lens Entropy for White-Box Hallucination Detection Out-of-Distribution Detection and Selective Generation for Conditional Language Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:16:13.936603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T17:22:59.542621Z digest=sha256:5c2cacd96aada526bee07bd491e9059588c786d7c701ee36652bd14b95d004f2

Observation aebe6ada-de61-4f7d-9d4a-02c01bb56323 · inbound

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios cites this paper.

OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios Out-of-Distribution Detection and Selective Generation for Conditional Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:57:15.340185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T21:50:44.634425Z digest=sha256:ece652a0b196a4df38c6b407f5de57cf33cdd383adec5aef5e62ef47eb8cd032