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Paper Citation Record · LEDGER

Focused Transformer: Contrastive Training for Context Scaling

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2307.03170.

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

pith.paper-citation-record.v1
2307.03170 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:36:36.909175Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:22:55.061704Z

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 7948592e-223c-446d-9bfd-34048f977391 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Focused Transformer: Contrastive Training for Context Scaling

Reference 261

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:46:40.590159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:85e16d196df774fda1429029d8e085768381415a5985618df2f73ca77dd3935c

Observation abc235e5-8b40-4f5a-a16a-44bc82dc6ad0 · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey Focused Transformer: Contrastive Training for Context Scaling

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:22:55.068049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T15:22:54.023279Z digest=sha256:2182e88c9823dec362738ecc8d6607214daff91efb0e65793f1b6adf9168b596

Observation 8446fc6f-b3f1-4a6f-bc41-95e04b8fd6e3 · inbound

Pause-Tuning for Long-Context Comprehension: A Lightweight Approach to LLM Attention Recalibration cites this paper.

Pause-Tuning for Long-Context Comprehension: A Lightweight Approach to LLM Attention Recalibration Focused Transformer: Contrastive Training for Context Scaling

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T18:36:36.909175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:36:36.909175Z digest=sha256:cbae4b47607ee33b98530071698419484abd8e608d15448f4a16fdd96f8d3956

Observation e0246169-7889-49bb-9dbf-ac7b22468975 · inbound

SemToken: Semantic-Aware Tokenization for Efficient Long-Context Language Modeling cites this paper.

SemToken: Semantic-Aware Tokenization for Efficient Long-Context Language Modeling Focused Transformer: Contrastive Training for Context Scaling

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T18:07:41.031022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:07:41.031022Z digest=sha256:17d0d63c57460d690307ac9b5e06128c3a33de24b8eaac90da13d04d79da3257

Observation d377100a-6afc-4bf7-acc6-d42127968a84 · inbound

Understanding Is Done Early: A Depth Division of Labor in Large Language Models and Its Use for Unbounded-Context Memory cites this paper.

Understanding Is Done Early: A Depth Division of Labor in Large Language Models and Its Use for Unbounded-Context Memory Focused Transformer: Contrastive Training for Context Scaling

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-31T12:56:45.996091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T12:56:45.996091Z digest=sha256:d36383f2e6a3fce15dceb3908ab105601a861c842d09b77a3d3d44419d4b0816