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Paper Citation Record · LEDGER

Auctions with LLM Summaries

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.08126.

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

pith.paper-citation-record.v1
2404.08126 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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:21:33.330873Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:14:53.421041Z

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 0065d0fc-4288-4c1f-bc2d-dcd572a60ec3 · inbound

Online Learning from Strategic Human Feedback in LLM Fine-Tuning cites this paper.

Online Learning from Strategic Human Feedback in LLM Fine-Tuning Auctions with LLM Summaries

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T10:21:33.330873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:21:33.330873Z digest=sha256:749610f4eabf55185aad2276aee6fbee813da4c4b99b3cac5c98e704ab5d495f

Observation e085903d-7624-4b74-b775-fd866066ddb5 · inbound

NaiAD: Initiate Data-Driven Research for LLM Advertising cites this paper.

NaiAD: Initiate Data-Driven Research for LLM Advertising Auctions with LLM Summaries

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:16:23.854488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T04:28:39.177199Z digest=sha256:de085a7f06855a034343cf50a5f6a0b1bb7bf048a6a22fc74a0c240f0e3abad3

Observation 9131592b-0a04-4762-ae04-b64149d4711a · inbound

Truthful Online Preference Aggregation for LLM Fine-Tuning in Mobile Crowdsourcing cites this paper.

Truthful Online Preference Aggregation for LLM Fine-Tuning in Mobile Crowdsourcing Auctions with LLM Summaries

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:14:53.422582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T16:07:57.237575Z digest=sha256:7caae9318a2cc3495d05b2a17d84154d09b13405b59a4a620686e977937cb82f

Observation 4d54482d-0f88-42f6-ab58-91a91b5163cf · inbound

PILA: Plug-and-Play Insertion for LLM-native Advertising cites this paper.

PILA: Plug-and-Play Insertion for LLM-native Advertising Auctions with LLM Summaries

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T02:05:07.607179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T02:05:07.607179Z digest=sha256:c69c95e941eef66abd3eb911c607ee301da9518b4c90d7a55036f10da5df1962