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Paper Citation Record · LEDGER

An Interpretable Automated Mechanism Design Framework with Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.12203.

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

pith.paper-citation-record.v1
2502.12203 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:50:32.585202Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:05:50.336233Z

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 d46625aa-9b1b-45d8-8bb4-a4fa0ca68700 · inbound

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers cites this paper.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers An Interpretable Automated Mechanism Design Framework with Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.585202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.585202Z digest=sha256:1c5545209b46efb7369ac498eef553bac1ca91734088f85813bd05952291fa38

Observation 8325151a-60d9-4a9a-b511-c29c6c03e52a · inbound

Mechanism Design Is Not Enough: Prosocial Agents for Cooperative AI cites this paper.

Mechanism Design Is Not Enough: Prosocial Agents for Cooperative AI An Interpretable Automated Mechanism Design Framework with Large Language Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:36:24.177297Z

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=2026-05-12T00:58:59.587622Z digest=sha256:833c87271b424986c6dddac39af239b2d2f64cf42688cd14ba7372fa8fe106e6

Observation 1c9002bc-c5ae-44c9-85f0-4c6f0c264ed9 · inbound

Mechanism Design Is Not Enough: Prosocial Agents for Cooperative AI cites this paper.

Mechanism Design Is Not Enough: Prosocial Agents for Cooperative AI An Interpretable Automated Mechanism Design Framework with Large Language Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:25:45.193476Z

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=2026-06-30T23:18:57.280524Z digest=sha256:445ab002001ad7106e8527240a924d1b3b351d42844def60187c5584ea0ee281

Observation a1519745-9fb8-4cd2-9b7b-2a70f8328f44 · inbound

Constitutional Arms Races in the Public Goods Game: Co-Evolving LLM Constitutions Under Cooperation-Defection Pressure cites this paper.

Constitutional Arms Races in the Public Goods Game: Co-Evolving LLM Constitutions Under Cooperation-Defection Pressure An Interpretable Automated Mechanism Design Framework with Large Language Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:05:50.337800Z

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=2026-07-01T16:56:31.609426Z digest=sha256:e4e5b046a70d0be3784aff748e26325d0999b97914acaf32d3ec48801c94251c