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Paper Citation Record · LEDGER

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling

As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2505.21399.

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

pith.paper-citation-record.v1
2505.21399 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:41:58.026877Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T12:41:48.620040Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T12:42:36.874577Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5045ac70-1ca4-4d74-adf5-f1fe8fc5d34f · outbound

This paper cites an unresolved cited work.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-07T13:41:54.922013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:54.922013Z digest=sha256:c7c5745e7dda84934ee69026b6da326c693238aa2cb15d01eabd4f1546a6df2a

Observation 95079b00-4a11-42cb-8cd0-f88c89075457 · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

Reference 2

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no resolver link, observed 2026-08-07T13:41:55.019084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:55.019084Z digest=sha256:10085f43efb3e8d6e84236fd037ef367aaf2a889ef1491aa1bd83ff0fc4232b8

Observation a799c9cc-f703-4a9c-9463-6c22227b0610 · outbound

This paper cites Language Models (Mostly) Know What They Know.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Language Models (Mostly) Know What They Know

Reference 3

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no resolver link, observed 2026-08-07T13:41:55.083026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:55.083026Z digest=sha256:b1865d39ad2c698e23533d9ee520865dc2b9cf1565b0801778c9b40389581920

Observation ee4d5712-796c-4981-ac20-c75b398bf2f5 · outbound

This paper cites Inference-time intervention: Eliciting truthful answers from a language model.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Inference-time intervention: Eliciting truthful answers from a language model

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:02.264258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:41:55.173773Z digest=sha256:5b02f066c341341bf734b3b7557a49c8afa34707492e38c7db1c99a9909e6052

Observation f84fe498-cc02-4d7f-b284-b1aabbf0e920 · outbound

This paper cites Mitchell.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Mitchell

Reference 5

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no resolver link, observed 2026-08-07T13:41:55.252095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:55.252095Z digest=sha256:755ca3dc931c02c809e4e943779573bb82f64d38a98adc7097e2364559aae6ea

Observation 83f3f301-d68e-4604-bb25-815b443768cd · outbound

This paper cites Discovering latent knowledge in language models without supervision.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Discovering latent knowledge in language models without supervision

Reference 6

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no resolver link, observed 2026-08-07T13:41:55.342908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:55.342908Z digest=sha256:73b07e5f5392649797969b34cf79408fb7538da96fa0ecb2c1ee68802ee0e916

Observation f56b94f2-4d88-4257-8611-1a08d462c34b · outbound

This paper cites Self-refine: Iterative refinement with self-feedback.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Self-refine: Iterative refinement with self-feedback

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:02.066993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:41:55.426542Z digest=sha256:cb61d0dbe3c46a2ba1c3560df252d479b3bcdecffc679b11db9e7953e6b93f62

Observation 4045bb5e-1fa8-4628-a079-aaba7a2b878c · outbound

This paper cites Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 8

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no resolver link, observed 2026-08-07T13:41:55.503652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:55.503652Z digest=sha256:46df78873ccb6fc30ab98382e23fd2ba7a54f5c5a1e26aa19e3058e0f6107e52

Observation a76768c2-2c51-4a51-9972-26e4b63a0a21 · outbound

This paper cites On the self-verification limitations of large language models on reasoning and planning tasks.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling On the self-verification limitations of large language models on reasoning and planning tasks

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:01.866647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:41:55.594958Z digest=sha256:43b7b530ce37036c4a36d1129d9aba75a19386fa5f99a51256e1d7a65d94e364

Observation 5c728957-0b90-44ff-a5be-e5dca66e38c2 · outbound

This paper cites Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models

Reference 10

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no resolver link, observed 2026-08-07T13:41:55.687389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:55.687389Z digest=sha256:308374bb95f80b0cedb8f718d3ff5c795e4819ac0cf9249d0e3af3fdd8b9927b

Observation 4b5ccc3e-88c8-4cbf-abce-a2b5428b5c0d · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Gemma 2: Improving Open Language Models at a Practical Size

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:55.766792Z digest=sha256:6c00f1cfa9a263a7097aa9a25b974243416d1ace6079e9240586850b92cc4f8c

Observation 46919ae5-1328-4c8f-bc5b-e61b9faef080 · outbound

This paper cites Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T13:41:55.859164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:55.859164Z digest=sha256:64b6ea1f64f3b2fef25442860ff27ab9054f536ae51fe7ecffc14b2d7e5ea392

Observation d3d9f668-9bfd-4716-8cc8-22f4b6bdd7e4 · outbound

This paper cites Do large language models know what they don't know? In Anna Rogers, Jordan L.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Do large language models know what they don't know? In Anna Rogers, Jordan L

Reference 13

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unresolved
no resolver link, observed 2026-08-07T13:41:55.934804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:55.934804Z digest=sha256:a9df7c34a44bde656d36c13a54e5c7de9dda73a6d86eb0a99017055dc3a7b26f

Observation 1435aefa-5906-41c2-9302-88904de0310f · outbound

This paper cites Can llms replace neil degrasse tyson? evaluating the reliability of llms as science communicators.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Can llms replace neil degrasse tyson? evaluating the reliability of llms as science communicators

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:41:56.014565Z digest=sha256:5b549a13faed1cf86b5f810b912b9ccbb798470e855a3a02634143f31e868efa

Observation d0d69705-22b9-400f-9c5b-10aa758c6c34 · outbound

This paper cites Tell me about yourself: LLMs are aware of their learned behaviors.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Tell me about yourself: LLMs are aware of their learned behaviors

Reference 15

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unresolved
no resolver link, observed 2026-08-07T13:41:56.079078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:56.079078Z digest=sha256:f481563e1a3ed774d17692b7ffc8770c30471dc997b443b6c08315c5e7117ad5

Observation 74ac85e9-4d5a-4ec5-8eab-ff3a8220d745 · outbound

This paper cites Large language models must be taught to know what they don't know.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Large language models must be taught to know what they don't know

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:01.535613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:41:56.157169Z digest=sha256:287a6c30d23c688264749072e47e509331be6fc081104a90444f1f4ffbfab503

Observation b0c82315-5687-4828-ac7c-c2605c140cdc · outbound

This paper cites Self-contrast: Better reflection through inconsistent solving perspectives.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Self-contrast: Better reflection through inconsistent solving perspectives

Reference 17

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no resolver link, observed 2026-08-07T13:41:56.211670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:56.211670Z digest=sha256:8ddf518e0d8211b477f316bcd3d5fa0b4e88baae8783cc40745fd4236a58adff

Observation e39c096e-4c3d-465c-8d3b-2320e0d0e305 · outbound

This paper cites Le, Ed H.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Le, Ed H

Reference 18

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no resolver link, observed 2026-08-07T13:41:56.322903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:56.322903Z digest=sha256:03506a5e4cb525b4ce918558838eb43b9ba333bb1c3400f9467afaf702794788

Observation 40b70064-f8b2-4784-a08a-9267955e4055 · outbound

This paper cites INSIDE: llms' internal states retain the power of hallucination detection.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling INSIDE: llms' internal states retain the power of hallucination detection

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3a49852b-fe53-4d74-bed8-9d2c72b837df · outbound

This paper cites LLM Internal States Reveal Hallucination Risk Faced With a Query.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling LLM Internal States Reveal Hallucination Risk Faced With a Query

Reference 20

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no resolver link, observed 2026-08-07T13:41:56.531343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:56.531343Z digest=sha256:5127d44dd4ae332020025e6f393a04fb26e04fb0845299211431b3b286d0381b

Observation d8969fa5-38c4-4dee-8492-0f0e4b1c466e · outbound

This paper cites Towards monosemanticity: Decomposing language models with dictionary learning.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Towards monosemanticity: Decomposing language models with dictionary learning

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:41:56.618679Z digest=sha256:62c849b51f7894194bca1a040d8dceae1cae0de88ebc970abfb66b67c79bc8ec

Observation 18e1fe59-6afe-43e3-ad00-56cc4f4ddfbb · outbound

This paper cites Sparse autoencoders find highly interpretable features in language models.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Sparse autoencoders find highly interpretable features in language models

Reference 22

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:41:56.701728Z digest=sha256:2580912cc85c5cea0cabf0af8579047701eb23bfb8cc6045c5efa3f6baaa6c33

Observation c2605246-cce2-4e1f-b418-c1bc61096cce · outbound

This paper cites The Linear Representation Hypothesis and the Geometry of Large Language Models.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling The Linear Representation Hypothesis and the Geometry of Large Language Models

Reference 23

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:56.759530Z digest=sha256:9a808dbbe041efd52fa913d96f59b43522be3472609eded7c9fae55f1cd0b94c

Observation 80809f29-14ec-41f4-8724-15384c72dda1 · outbound

This paper cites Distributed representations of words and phrases and their compositionality.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Distributed representations of words and phrases and their compositionality

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2de16871-de4d-4537-92f0-386ec1ca6cf2 · outbound

This paper cites Inference-time intervention: Eliciting truthful answers from a language model.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Inference-time intervention: Eliciting truthful answers from a language model

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:00.205306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:41:56.895234Z digest=sha256:ac3b057622e414e260387533d3348d5fe7632285f744877dc8e646ba0e3eee3a

Observation fca1fa49-5ef5-4762-a9dd-a33bef740c6e · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Representation Engineering: A Top-Down Approach to AI Transparency

Reference 26

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no resolver link, observed 2026-08-07T13:41:56.958567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:56.958567Z digest=sha256:79dfedfa75fa122ae9d38db2b5d52cd2bda8d4bf3c9087bfdad4af76cc0fab0d

Observation 02af764a-c886-4edf-b031-c47dbbe9f001 · outbound

This paper cites Saes are highly dataset dependent: A case study on the refusal direction.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Saes are highly dataset dependent: A case study on the refusal direction

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:59.918261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 44b7442f-32c0-4d6c-94e5-e38f4619f4be · outbound

This paper cites Open Problems in Mechanistic Interpretability.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Open Problems in Mechanistic Interpretability

Reference 28

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unresolved
no resolver link, observed 2026-08-07T13:41:57.279860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:57.279860Z digest=sha256:247f9e53f01c29f270b00fbcebbbde6443ac33b379bd8432673170769126883d

Observation ac1a8290-6e72-4e91-b7c7-0be9661cf1d1 · outbound

This paper cites Learning Multi-Level Features with Matryoshka Sparse Autoencoders.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Learning Multi-Level Features with Matryoshka Sparse Autoencoders

Reference 29

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no resolver link, observed 2026-08-07T13:41:57.359666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:57.359666Z digest=sha256:c616588f955b9635b94b7672d2b4b126170fb59a49fefd188ca9098ed4a0358b

Observation 1bd34682-fb12-48c0-9375-f95742b16791 · outbound

This paper cites Wikidata.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Wikidata

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:59.592995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:41:57.426826Z digest=sha256:8cc22c64b2c77a90ef85a5e928fa7849a2bcc33d64f680e13fefabd08d41ad44

Observation 0ef15772-cb0b-4702-99c0-973fe07912dd · outbound

This paper cites Locating and editing factual associations in gpt.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Locating and editing factual associations in gpt

Reference 31

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no resolver link, observed 2026-08-07T13:41:57.483957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:57.483957Z digest=sha256:3b2ef2f164a6308ee707cae5f2026f91606c1658418f1139645d5b4e54436f16

Observation c9ddcc0a-8290-4535-943c-e19cc527156b · outbound

This paper cites Dissecting recall of factual associations in auto-regressive language models.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Dissecting recall of factual associations in auto-regressive language models

Reference 32

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unresolved
no resolver link, observed 2026-08-07T13:41:57.563000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:57.563000Z digest=sha256:9d8533bcb9d8a72c818105e071bffb2ac70ca055cfcd4d76e08a8fcdf0c3a443

Observation 0ab8ae9d-8d99-4149-a193-745371acf754 · outbound

This paper cites Fact finding: Attempting to reverse-engineer factual recall on the neuron level.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Fact finding: Attempting to reverse-engineer factual recall on the neuron level

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:59.304081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:41:57.626024Z digest=sha256:ea6a79df59ba05568268006e7b264c184419f8d4b11f0d21d50bb65da20a78e5

Observation 43462163-784f-44bf-9fc6-bb51c38f0bd3 · outbound

This paper cites Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Reference 34

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unresolved
no resolver link, observed 2026-08-07T13:41:57.703508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:57.703508Z digest=sha256:fc707a1596a0741c6d503d8ee6d370f21b294a67d5a406d7b3b43ce883cc41f4

Observation 8aae4ff6-b5b1-447c-81c9-52862d1dc857 · outbound

This paper cites Demystifying prompts in language models via perplexity estimation.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Demystifying prompts in language models via perplexity estimation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:59.060236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:41:57.790715Z digest=sha256:67c6436d9d535b0866411be285267f125122b396d6213d576218285ae498bcc5

Observation c2c99ab0-6d7d-46bd-aecb-c24bcdb66f87 · outbound

This paper cites Quantifying lms’ sensitivity to spurious prompt formatting.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Quantifying lms’ sensitivity to spurious prompt formatting

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:41:57.881070Z digest=sha256:ba1bb9b497a8784ab2b0f7e413af4f43f8fc9547033930152fe294cdf4ae0a20

Observation d79d578e-579d-48af-9254-5a36e8241f4a · outbound

This paper cites Large language models are zero-shot reasoners.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling Large language models are zero-shot reasoners

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T13:41:57.969695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:41:57.969695Z digest=sha256:1e0a4944cfa4fbe15eecab4a2b3b4fa45a8a39f31a6a48e95d67a3e5009c46e4

Observation f2b5bb3c-52ef-42c6-ae7b-52705c704dba · outbound

This paper cites State of what art? a call for multi-prompt llm evaluation.

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling State of what art? a call for multi-prompt llm evaluation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:58.547664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:41:58.026877Z digest=sha256:b499e01dc49e674501ae8d62136e56a7e404b118b17a7f1c16f1936448ae7fa5

Pith citing papers

Observation ac32da1d-3dcd-44ee-8fef-00aa028b7c9d · inbound

Beyond Linear Probes: Dynamic Safety Monitoring for Language Models cites this paper.

Beyond Linear Probes: Dynamic Safety Monitoring for Language Models Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:42:36.877686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T12:41:48.620040Z digest=sha256:2488eff859568f8833ace45b8912a1998d3a1849c72340c7780d9ce2017220d0