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Paper Citation Record · LEDGER

Formal Aspects of Language Modeling

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2311.04329.

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

pith.paper-citation-record.v1
2311.04329 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:18:15.336243Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T06:55:29.343758Z

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 ede86109-bfc4-4a8c-904c-99d79cf3503a · inbound

From Language Models over Tokens to Language Models over Characters cites this paper.

From Language Models over Tokens to Language Models over Characters Formal Aspects of Language Modeling

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T22:18:15.336243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:18:15.336243Z digest=sha256:170899370843993b682769922dbc14ea34a28afbf929d539570d9a600749f6f7

Observation 689faa0a-7d72-4aad-89cc-74f3402e9f42 · inbound

Circuit Stability Characterizes Language Model Generalization cites this paper.

Circuit Stability Characterizes Language Model Generalization Formal Aspects of Language Modeling

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:36.636923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:36.636923Z digest=sha256:e2e2183ae9db49cc9bd9566b865bab97ea0a1bd0dc30f1d1abb08dde795e208f

Observation 91054e9d-f796-4485-b76b-907ababec0f0 · inbound

Unraveling Syntax: Language Modeling and the Substructure of Grammars cites this paper.

Unraveling Syntax: Language Modeling and the Substructure of Grammars Formal Aspects of Language Modeling

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T12:47:19.452910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:47:19.452910Z digest=sha256:87dfa7b173c8c1806c8e8f90378905066bf1584c4ee246e78d3d871c0dd0b517

Observation 4c0adca2-17b1-4b80-94c0-87b0841b0c08 · inbound

A fine-grained look at causal effects in causal spaces cites this paper.

A fine-grained look at causal effects in causal spaces Formal Aspects of Language Modeling

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:58:39.140497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T22:54:13.807169Z digest=sha256:2c2029ad4d1f9c6aa655efcff0deb61e99b37017d708e99690cd5052da9756b5

Observation b1c14e0a-9a9d-4228-b1ff-07d2bf4a7395 · inbound

Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction cites this paper.

Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction Formal Aspects of Language Modeling

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:28:33.509249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-16T21:28:20.658539Z digest=sha256:9b755d616f63674990c64a675c45a5c9ab0c2284df1b531cc4674cfe16648d2e

Observation dc7c0c28-23f1-44d8-863f-e04b93606289 · inbound

Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction cites this paper.

Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction Formal Aspects of Language Modeling

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T15:55:45.828476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T15:55:45.828476Z digest=sha256:60043190c11e516f65650aa06b837d0c8749b10b80ee5ec600c85ab05f32f71d

Observation 63724674-78ff-4c06-b195-bd2c03f9c596 · inbound

Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers cites this paper.

Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers Formal Aspects of Language Modeling

Reference 69

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T06:55:29.345903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-01T06:51:41.784250Z digest=sha256:8c920e5173d349dbf50e847f49c21bf6a3352a8f97b0d4dfe44f8af071c5fa97