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Paper Citation Record · LEDGER

On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.01633.

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

pith.paper-citation-record.v1
2406.01633 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T02:02:24.496620Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:53:51.653944Z

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 8d5493bd-02ca-43bd-9200-dc0957d031de · inbound

LLMs Get Lost In Multi-Turn Conversation cites this paper.

LLMs Get Lost In Multi-Turn Conversation On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:11:09.195426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T00:57:10.262350Z digest=sha256:4d3a7ba857f9c69e72a4ab822d179865ab85f85766b5ce042c0cf356989d71dc

Observation 5ced02fe-981c-470d-8889-7dbbcafecfcf · inbound

LLMs Corrupt Your Documents When You Delegate cites this paper.

LLMs Corrupt Your Documents When You Delegate On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:48:47.590609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T09:47:21.966292Z digest=sha256:79e5602e4da0717a815c76f436dc2d25faf0fbf98c0b8232432b214760bb564b

Observation 3df93e08-4e26-4575-960f-6b43f85dd791 · inbound

Quantifying the Utility of User Simulators for Building Collaborative LLM Assistants cites this paper.

Quantifying the Utility of User Simulators for Building Collaborative LLM Assistants On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:36:46.267262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T02:28:13.317630Z digest=sha256:76290cacab81b5500cbc944bccc8a362864431f3bc0ea3eccdc59bae53577570

Observation 6afa550a-f444-4805-b70f-0d105e33487b · inbound

SeDT: Sentence-Transformer Decision-Transformer Conditioning for Multi-Turn Conversation Reliability cites this paper.

SeDT: Sentence-Transformer Decision-Transformer Conditioning for Multi-Turn Conversation Reliability On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:53:51.655512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T18:45:40.697579Z digest=sha256:88dfbe5bb2f512061d6db3f4f64ed3009212664e7c2703cf0a10c1040364c48b

Observation e12563dd-1836-4119-b3cd-c7f3128b85ea · inbound

Enjoy Your Talk: A Human-Centered Benchmark for Multi-Turn Dialogue with Decoupled User Simulation, Target Modeling, and Judging cites this paper.

Enjoy Your Talk: A Human-Centered Benchmark for Multi-Turn Dialogue with Decoupled User Simulation, Target Modeling, and Judging On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-14T11:49:31.595873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T11:49:31.595873Z digest=sha256:7cb73a90dcd61c483a2b3fe1e244e289e16c4b041851f1bd3e97076b0dbd922a

Observation 14ff5429-222b-46bd-a1fa-314cfdb7a200 · inbound

Enjoy Your Talk: A Human-Centered Benchmark for Multi-Turn Dialogue with Decoupled User Simulation, Target Modeling, and Judging cites this paper.

Enjoy Your Talk: A Human-Centered Benchmark for Multi-Turn Dialogue with Decoupled User Simulation, Target Modeling, and Judging On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T07:20:35.092841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:20:35.092841Z digest=sha256:575f4f15ec7d4da344685ae42b6e899b0eee8cdafcdefc67f0d09786800e9fba

Observation 7a788501-6fcf-4b98-b6d5-bcbc98dc4c5b · inbound

LLMs Get Lost in Evolving User Intent cites this paper.

LLMs Get Lost in Evolving User Intent On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-01T09:35:31.069754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:35:31.069754Z digest=sha256:b902d6f7d3c1339423dda0d64e92801d0b0a12cd60d6917d41be28a9fdb963b9

Observation 1e1b6631-4eb7-4f92-88e6-9508b962dc98 · inbound

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs cites this paper.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T02:02:24.496620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:02:24.496620Z digest=sha256:df8b6b43c3aea29dc3a99f170ec0c304120ecb56ad38eede54acb0c35766278a