Paper Citation Record · LEDGER

Rewarding Chatbots for Real-World Engagement with Millions of Users

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2303.06135.

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

pith.paper-citation-record.v1
2303.06135 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:19:49.742844Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T21:16:50.926737Z

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 33434c89-6fbb-405c-b212-a073e841fc6f · inbound

Chain-of-Verification Reduces Hallucination in Large Language Models cites this paper.

Chain-of-Verification Reduces Hallucination in Large Language Models Rewarding Chatbots for Real-World Engagement with Millions of Users

Reference 142

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:06:50.344798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fcb9b52d-5477-42a5-a5db-c6ed9ff68ddb · inbound

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling cites this paper.

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Rewarding Chatbots for Real-World Engagement with Millions of Users

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:42:23.587540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d4ca40bd-c3bc-4bd4-900a-58077fb8a5b4 · inbound

Efficiently Scaling LLM Reasoning with Certaindex cites this paper.

Efficiently Scaling LLM Reasoning with Certaindex Rewarding Chatbots for Real-World Engagement with Millions of Users

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T23:09:44.338057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64fe63e3-ef57-4246-9c11-daef4aa030c6 · inbound

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately cites this paper.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Rewarding Chatbots for Real-World Engagement with Millions of Users

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.742844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b2eba29-5b23-454f-9ea9-301c316c0e1f · inbound

It's Not That Simple. An Analysis of Simple Test-Time Scaling cites this paper.

It's Not That Simple. An Analysis of Simple Test-Time Scaling Rewarding Chatbots for Real-World Engagement with Millions of Users

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:04.740135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c34364a8-461e-4039-bb16-c0d60030627f · inbound

Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs cites this paper.

Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs Rewarding Chatbots for Real-World Engagement with Millions of Users

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-18T21:16:50.932213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 34f4f8a8-0113-4255-876b-919a9fd4b6db · inbound

Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning cites this paper.

Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning Rewarding Chatbots for Real-World Engagement with Millions of Users

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:41:01.905095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a07d6d64-68fc-4499-9381-2e514e2a9b1e · inbound

Beyond Borrowed Histories: Person-Aligned User Simulation for Interactive Role-Playing Evaluation cites this paper.

Beyond Borrowed Histories: Person-Aligned User Simulation for Interactive Role-Playing Evaluation Rewarding Chatbots for Real-World Engagement with Millions of Users

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-01T00:57:15.922946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4a3d912-9718-405f-a554-e88eac432701 · inbound

Beyond Borrowed Histories: Person-Aligned User Simulation for Interactive Role-Playing Evaluation cites this paper.

Beyond Borrowed Histories: Person-Aligned User Simulation for Interactive Role-Playing Evaluation Rewarding Chatbots for Real-World Engagement with Millions of Users

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T01:44:11.709291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab821504-ac04-44e7-b6ae-137494d39751 · inbound

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling cites this paper.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Rewarding Chatbots for Real-World Engagement with Millions of Users

Reference 157

Resolution: unresolved; no resolver link, observed 2026-08-12T14:10:45.650193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.