Pith. sign in

Paper Citation Record · LEDGER

Positional Description Matters for Transformers Arithmetic

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2311.14737.

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

pith.paper-citation-record.v1
2311.14737 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:54:29.253358Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:12:28.699661Z

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 03df3bdd-9581-4fa4-ab17-0964b0239950 · inbound

Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges cites this paper.

Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges Positional Description Matters for Transformers Arithmetic

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-09T14:54:29.253358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:54:29.253358Z digest=sha256:0d65908744ca1563f16e8daad4ab88c6449081f957fceb095d5b8253a3cdedff

Observation c9a8232f-e00c-44de-8223-7c30eedb9ef1 · inbound

Ignore the KL Penalty! Boosting Exploration on Critical Tokens to Enhance RL Fine-Tuning cites this paper.

Ignore the KL Penalty! Boosting Exploration on Critical Tokens to Enhance RL Fine-Tuning Positional Description Matters for Transformers Arithmetic

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T15:11:08.172446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:11:08.172446Z digest=sha256:8a83d41da074879f238b8e96057bc30f0c1823c9f877274ce600994b8682fb1f

Observation 2af610c9-6adf-4324-a9d8-c6170361ae72 · inbound

FoNE: Precise Single-Token Number Embeddings via Fourier Features cites this paper.

FoNE: Precise Single-Token Number Embeddings via Fourier Features Positional Description Matters for Transformers Arithmetic

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:12:28.703411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T03:07:37.363965Z digest=sha256:f10d31365319a2776f674927a21b6e05d2c575946ecceb5b0bacdc9a1a9c737c

Observation 7a215239-c687-43aa-aaaa-b184527bfd3f · inbound

Extrapolation by Association: Length Generalization Transfer in Transformers cites this paper.

Extrapolation by Association: Length Generalization Transfer in Transformers Positional Description Matters for Transformers Arithmetic

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T04:59:23.504423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:59:23.504423Z digest=sha256:54e3ed5139b7325ac57d21454253f2af9d88504045480de125dcc50c94cceda4

Observation 4dc9c142-d200-414c-91c6-8a17a778f5df · inbound

Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding cites this paper.

Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding Positional Description Matters for Transformers Arithmetic

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:58.973372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:59:58.973372Z digest=sha256:f95aec75389fde3ba726e44088c67e82fadeac2ad321695277502f1f57b28965

Observation a4980c63-d8d7-4e6a-b0a6-8a5abb2b0da9 · inbound

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving cites this paper.

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Positional Description Matters for Transformers Arithmetic

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T06:00:16.039812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:00:16.039812Z digest=sha256:82b4103fbdfbeb94f9d2c60d2cbdaf624b816ed560cf968b8a4078b136289299

Observation 3e848814-53b6-4c64-b7fd-874fcd4bceeb · inbound

The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior cites this paper.

The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior Positional Description Matters for Transformers Arithmetic

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T21:17:58.782635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:40.430384Z digest=sha256:3bd673b78d974375cd56f6bdfeada6d19dc41905c0b96c88377b034e4875d25d

Observation 776259b1-6f61-499f-bb3e-e785d4ffe93b · inbound

To See the Unseen: on the Generalization Ability of Transformers in Symbolic Reasoning cites this paper.

To See the Unseen: on the Generalization Ability of Transformers in Symbolic Reasoning Positional Description Matters for Transformers Arithmetic

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:49:15.798644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T22:18:14.788882Z digest=sha256:f3ae80e756eadb2f81e854369cb2cdf316a51dd066a21914f3aa8030471f88f9

Observation 884553a8-df4d-473e-b80a-e90cb20336b4 · inbound

Explaining and Tuning Transformer-based LLMs in Arithmetic Tasks with Human Strategies cites this paper.

Explaining and Tuning Transformer-based LLMs in Arithmetic Tasks with Human Strategies Positional Description Matters for Transformers Arithmetic

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T18:53:11.313185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:53:11.313185Z digest=sha256:1d42422c0606e829d1fd5fa5ec3d605f1183579f0ed02dfc2d3ebcc7d9a4bf00