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Paper Citation Record · LEDGER

A Gauss-Seidel method for solving multi-leader-multi-follower games

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.02605.

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

pith.paper-citation-record.v1
2404.02605 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T18:19:43.146102Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:57:48.222117Z

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 3f0b4741-ac2d-4463-a347-5a80fe12f348 · inbound

SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks? cites this paper.

SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks? A Gauss-Seidel method for solving multi-leader-multi-follower games

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-12T13:48:53.781577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T13:48:53.691192Z digest=sha256:2ef2bf47c727d50056faf934de0f69d12e6d77e4cc5a24657988d15a039c307a

Observation 4d811881-e0ef-4662-87ee-f02d5470d62d · inbound

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier cites this paper.

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier A Gauss-Seidel method for solving multi-leader-multi-follower games

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-03T08:57:48.223715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T10:36:09.211639Z digest=sha256:4c123c1fa69aac90d163be3db0380f7d9a6c8f86620c08479d9479b53116c7e7

Observation 889cf5cb-f0cc-47de-8cdc-7418580018b5 · inbound

SWE-Router: Routing in Multi-turn Agentic Software Engineering Tasks cites this paper.

SWE-Router: Routing in Multi-turn Agentic Software Engineering Tasks A Gauss-Seidel method for solving multi-leader-multi-follower games

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-02T18:37:16.512067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-02T18:19:43.146102Z digest=sha256:f290855df791c09f8200aea8c8a353153a45d556c9eb655006e4c6584d94b548