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Paper Citation Record · LEDGER

Learning from Synthetic Labs: Language Models as Auction Participants

As of 20 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 4 inbound Pith citation observations for arXiv:2507.09083.

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

pith.paper-citation-record.v1
2507.09083 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:11:28.776906Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:23:15.633569Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T05:16:38.766323Z

Reference resolution

7 of 7 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved3
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e11f1da6-8cea-4a51-9826-b0a32744b69a · outbound

This paper cites Your value for the prize is equal to the common value plus your private taste adjustment.

Learning from Synthetic Labs: Language Models as Auction Participants Your value for the prize is equal to the common value plus your private taste adjustment

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:29.568216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T18:11:28.243957Z digest=sha256:06bf036ce87234761e4effc1c002b551789d1db85b252b1c7fa14c8e7c17ef87

Observation 6f693815-5210-4313-8e2c-6d563d743584 · outbound

This paper cites Your value for the prize is equal to the common value plus your private taste adjustment.

Learning from Synthetic Labs: Language Models as Auction Participants Your value for the prize is equal to the common value plus your private taste adjustment

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:29.413661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T18:11:28.408153Z digest=sha256:a1b82ecc283e254ebf3e1ae03f3543d942b99c7a3bf06e1f0ba6ffc176b66884

Observation 937ad19b-1bd4-4b89-ad24-6df499c1eb2e · outbound

This paper cites an unresolved cited work.

Learning from Synthetic Labs: Language Models as Auction Participants Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:11:29.706282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T18:11:28.503113Z digest=sha256:98b096f23ab98f02b49c8147869e14c948b8d1755cec5cb1636575b6d05ac704

Observation 63cbbaad-2999-49b7-b24b-fb2d7565c629 · outbound

This paper cites Your value for the prize is equal to the common value plus your private taste adjustment.

Learning from Synthetic Labs: Language Models as Auction Participants Your value for the prize is equal to the common value plus your private taste adjustment

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:11:29.339999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T18:11:28.595633Z digest=sha256:8930938922e52774b02eedd63e0cf75c144f2dd798d9d7cf709e0ab7c5c518da

Observation dab53e14-93f0-42bb-b7d6-9c397c399953 · outbound

This paper cites an unresolved cited work.

Learning from Synthetic Labs: Language Models as Auction Participants Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:11:29.164928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T18:11:28.699124Z digest=sha256:da3abd381e3c645d1af39b7dd4d8cc83437b0416a103fee3163f06acd57fdbdb

Observation 60169fb8-bf3b-438f-b05d-156f4a3891f8 · outbound

This paper cites proxy bidding.

Learning from Synthetic Labs: Language Models as Auction Participants proxy bidding

Reference 9

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T18:11:29.050460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T18:11:28.776906Z digest=sha256:1b0e9aadff66e1bbd2f852219aa0cdeff20579793f347eb8121bd66173edfec1

Observation e4ee1b7e-2b25-4689-b681-207d96616160 · outbound

This paper cites kelly is a warm person, joseph is a role model.

Learning from Synthetic Labs: Language Models as Auction Participants kelly is a warm person, joseph is a role model

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T18:11:28.035997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:11:28.035997Z digest=sha256:fca59dfa67ae187ff59991a63230fb1292dd1463ef80d836ade3f0333c9bb921

Pith citing papers

Observation 65b05d2e-6fd6-4ee2-8948-8aef5f5d12ce · inbound

Choose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party Negotiation cites this paper.

Choose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party Negotiation Learning from Synthetic Labs: Language Models as Auction Participants

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-02T23:58:47.020669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:58:47.020669Z digest=sha256:d68a7d244fe9c7642a3a3cf5862aded5de5a121a16efbedb234c1b7c25c70075

Observation 0f91219b-c86a-4dc2-9819-d7bf3feb59c4 · inbound

Do Matching Mechanisms Work with LLM Agents? cites this paper.

Do Matching Mechanisms Work with LLM Agents? Learning from Synthetic Labs: Language Models as Auction Participants

Reference 143

Resolution
verified exact
arxiv_id, observed 2026-07-02T05:16:38.767801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T08:30:30.412413Z digest=sha256:2addb3f58f08e721a82976a7eca7c5bc2695c26962ec2886d372510921818ad7

Observation d6d3da6b-7b10-463c-9b3b-8674edfb07b4 · inbound

When Is Delegated Play Truthful? Within-Range Regret and the Trilemma of Aligned Delegation cites this paper.

When Is Delegated Play Truthful? Within-Range Regret and the Trilemma of Aligned Delegation Learning from Synthetic Labs: Language Models as Auction Participants

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-02T02:25:27.642739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:25:27.642739Z digest=sha256:93ae5c0114aa4fda9bd8ba8715679b2fc7fc6f4d9eb0a1c338ac411bd94a8f74

Observation c6afbad5-a19a-4cde-91e4-7761b29a0dbf · inbound

Can LLM Agents Price Competitively? A Dynamic Multi-Attribute Auction Benchmark for Agentic Commerce cites this paper.

Can LLM Agents Price Competitively? A Dynamic Multi-Attribute Auction Benchmark for Agentic Commerce Learning from Synthetic Labs: Language Models as Auction Participants

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-04T01:23:15.633569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:23:15.633569Z digest=sha256:af6f0463c3f11f9eba87219bcbda7de99f600f9157086d59f28b972b0ab49853