Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-02T12:53:00.254754Z
Paper Citation Record · LEDGER
Understanding Large Language Models
As of 20 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.01006.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
20 of 20 outbound references displayed
- verified exact4
- verified fuzzy4
- unresolved0
- parse uncertain0
- malformed identifier3
- metadata mismatch9
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ead9e864-2724-499e-95d1-db9c82408853 · outbound
This paper cites Understanding intermediate layers using linear classifier probes.
Understanding Large Language Models Understanding intermediate layers using linear classifier probes
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T12:56:56.422036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 43c32ded-deeb-4d49-9d46-abb1866c962d · outbound
This paper cites Language Mod- els are Few-Shot Learners.
Understanding Large Language Models Language Mod- els are Few-Shot Learners
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T01:31:44.845859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 85ee707d-2788-4aba-bb4c-76812c5fc267 · outbound
This paper cites Truth is Univer- sal: Robust Detection of Lies in LLMs.
Understanding Large Language Models Truth is Univer- sal: Robust Detection of Lies in LLMs
Reference 3
- Resolution
- verified exact
- doi, observed 2026-07-02T12:56:56.405273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ade6c641-b3d7-4f62-838d-a1e837ab335f · outbound
This paper cites Are there theory of mind regions in the brain? A review of the neuroimaging literature.
Understanding Large Language Models Are there theory of mind regions in the brain? A review of the neuroimaging literature
Reference 4
- Resolution
- verified exact
- doi, observed 2026-07-02T12:56:56.430591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8b30cf23-1add-466c-80fa-2a0ea5f85dad · outbound
This paper cites Trends in Cognitive Sciences , author =.
Understanding Large Language Models Trends in Cognitive Sciences , author =
Reference 5
- Resolution
- metadata mismatch
- doi, observed 2026-07-02T12:56:56.421859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 49461c43-6393-4459-9866-893d297b9b60 · outbound
This paper cites Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Xin Zhao, and Ji-Rong Wen.
Understanding Large Language Models Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Xin Zhao, and Ji-Rong Wen
Reference 6
- Resolution
- metadata mismatch
- doi, observed 2026-07-02T12:56:56.420057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ff45292f-2a60-49e6-835f-5c5fd5e0ecf0 · outbound
This paper cites Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests.
Understanding Large Language Models Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T12:56:56.428475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7b7e4a48-d15b-44e6-be52-7fb4e83fcc88 · outbound
This paper cites Editing anthropomorphic language.
Understanding Large Language Models Editing anthropomorphic language
Reference 8
- Resolution
- verified exact
- doi, observed 2026-07-02T12:56:56.427179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bed6deca-7619-43d3-956d-bea54babb2f1 · outbound
This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi- Agent Conversation Framework.
Understanding Large Language Models AutoGen: Enabling Next-Gen LLM Applications via Multi- Agent Conversation Framework
Reference 9
- Resolution
- metadata mismatch
- doi, observed 2026-07-02T12:56:56.411045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 981ccf1d-f1ea-4847-9559-12fe93ac6334 · outbound
This paper cites Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?.
Understanding Large Language Models Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T12:56:56.425129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e07b747b-26c1-4dd4-8661-42b0845f1f90 · outbound
This paper cites scrolling screenshot.
Understanding Large Language Models scrolling screenshot
Reference 11
- Resolution
- malformed identifier
- doi_truncated, observed 2026-07-02T12:56:56.429319Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 133b0533-2b90-44ef-9625-986c71d92323 · outbound
This paper cites The bulletin of mathematical biophysics , author =.
Understanding Large Language Models The bulletin of mathematical biophysics , author =
Reference 12
- Resolution
- metadata mismatch
- doi, observed 2026-07-02T12:56:56.399743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 105d4032-d5cf-4cb6-9aad-7d3dac356f7a · outbound
This paper cites Uncovering mesa-optimization algorithms in Transformers.
Understanding Large Language Models Uncovering mesa-optimization algorithms in Transformers
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T12:56:56.433366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8fdd46d1-1455-4708-b056-e9c7f03764d6 · outbound
This paper cites Marc Mézard and Andrea Montanari.Information, Physics, and Computation.
Understanding Large Language Models Marc Mézard and Andrea Montanari.Information, Physics, and Computation
Reference 14
- Resolution
- malformed identifier
- doi_truncated, observed 2026-07-02T12:56:56.423813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e6d9d46f-0670-45e4-ad99-da19263d3540 · outbound
This paper cites Attention is All you Need.
Understanding Large Language Models Attention is All you Need
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T01:31:44.851209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 21e8faf8-f77e-45a3-95c1-d9e8d3f919be · outbound
This paper cites SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Sys- tems.
Understanding Large Language Models SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Sys- tems
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T01:31:44.849548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cc17ccf7-c7e1-4755-b7a6-c7c915793e2e · outbound
This paper cites In: Pro- ceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP.
Understanding Large Language Models In: Pro- ceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
Reference 17
- Resolution
- malformed identifier
- doi_truncated, observed 2026-07-02T12:56:56.407678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 46d917ff-a250-4d11-9408-ea4078794ebe · outbound
This paper cites Blake Lemoine: Google fires engineer who said AI tech has feelings.
Understanding Large Language Models Blake Lemoine: Google fires engineer who said AI tech has feelings
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T01:31:44.847875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e980450f-a5ff-419f-8a82-fe63f37e7a1c · outbound
This paper cites Saying what you mean in dialogue: A study in conceptual and semantic co-ordination,.
Understanding Large Language Models Saying what you mean in dialogue: A study in conceptual and semantic co-ordination,
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T12:56:56.491644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4746254a-e0f7-490b-ae2a-cbefcaa94da2 · outbound
This paper cites Empirical evidence of Large Language Model's influence on human spoken communication.
Understanding Large Language Models Empirical evidence of Large Language Model's influence on human spoken communication
Reference 20
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-17T01:21:39.510443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.