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Paper Citation Record · LEDGER

Forbidding Edges between Points in the Plane to Disconnect the Triangulation Flip Graph

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.02700.

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

pith.paper-citation-record.v1
2206.02700 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:21:20.945097Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:52:37.533698Z

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 e0af5e2c-0263-4138-926c-49e28a95f4b1 · inbound

A Self-Supervised Reinforcement Learning Approach for Fine-Tuning Large Language Models Using Cross-Attention Signals cites this paper.

A Self-Supervised Reinforcement Learning Approach for Fine-Tuning Large Language Models Using Cross-Attention Signals Forbidding Edges between Points in the Plane to Disconnect the Triangulation Flip Graph

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T20:21:20.945097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:21:20.945097Z digest=sha256:14c1f3a136511cf4e5686f37fa46bf690a3019a8b68e82d6a35b070cbf5c62a1

Observation 69c3fb62-ea1b-4370-9c14-13645bb1e41c · inbound

History-Aware Cross-Attention Reinforcement: Self-Supervised Multi Turn and Chain-of-Thought Fine-Tuning with vLLM cites this paper.

History-Aware Cross-Attention Reinforcement: Self-Supervised Multi Turn and Chain-of-Thought Fine-Tuning with vLLM Forbidding Edges between Points in the Plane to Disconnect the Triangulation Flip Graph

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T05:52:37.537609Z

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=pdf_text observed=2026-08-07T05:52:37.417126Z digest=sha256:6c7158933027f4e1060f4519301a9c87e28a6a7801d0984b54e69c868c02ba42