Paper Citation Record · LEDGER

DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities

As of 13 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2507.05750.

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

pith.paper-citation-record.v1
2507.05750 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:24:54.186929Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:29:26.083292Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy5
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2419add3-e556-40a5-9096-3569bb6b1cf4 · outbound

This paper cites The ﬁnal score for a given dialogue is calculated as follows: (total number of responses - number of irrelevant responses)/total number of responses.

DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities The ﬁnal score for a given dialogue is calculated as follows: (total number of responses - number of irrelevant responses)/total number of responses

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:24:55.140473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e74b40b5-f535-4f0f-a649-361355e3c415 · outbound

This paper cites The New York Times.

DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities The New York Times

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:24:55.225093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2f311231-87e6-4314-8f7b-ed4de4113c9f · outbound

This paper cites Measuring Massive Multitask Language Understanding.

DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities Measuring Massive Multitask Language Understanding

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:52.935822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4beb0411-a01d-47b0-9b30-87d4607b189a · outbound

This paper cites an unresolved cited work.

DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:24:54.780860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9c6ca101-d117-4216-bc96-f8731ea4e5ac · outbound

This paper cites Pointer Sentinel Mixture Models.

DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities Pointer Sentinel Mixture Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:53.216340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f690814d-02c6-425d-ab27-e8ce962e42f0 · outbound

This paper cites The ﬁnal score for a given dialogue is calculated as follows: (total number of topic shifts - number of illogical/incoherent topic shifts)/total number of topic shifts.

DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities The ﬁnal score for a given dialogue is calculated as follows: (total number of topic shifts - number of illogical/incoherent topic shifts)/total number of topic shifts

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:24:54.508888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7bc61486-9f00-4dbe-856a-93cbffedab8e · outbound

This paper cites The ﬁnal score for a given dialogue is calculated as follows: (total number of user utterances - number of generic/imprecise user utterances)/total number of user utterances.

DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities The ﬁnal score for a given dialogue is calculated as follows: (total number of user utterances - number of generic/imprecise user utterances)/total number of user utterances

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:24:55.036900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 808807cb-5e70-4619-b843-4612b85216be · outbound

This paper cites The ﬁnal score for a given dialogue is calculated as follows: (total number of user utterances - number of erroneous/awkward user utterances)/total number of user utterances.

DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities The ﬁnal score for a given dialogue is calculated as follows: (total number of user utterances - number of erroneous/awkward user utterances)/total number of user utterances

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:24:54.920409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5e70c9ff-3a53-4b47-8f4b-8078afb628df · outbound

This paper cites an unresolved cited work.

DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:24:54.670815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8e2e0b3a-6ae2-4d9c-bcf0-72f8a00838ad · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 2002

Resolution: malformed identifier; no resolver link, observed 2026-08-06T19:24:53.357618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4d958dc-99f9-4503-b286-a955811ca207 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:52.819999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c705989c-f3a8-4155-9204-c66356ae0752 · outbound

This paper cites TopiOCQA: Open-domain Conversational Question Answering with Topic Switching.

DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities TopiOCQA: Open-domain Conversational Question Answering with Topic Switching

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:52.764496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4014b00d-4f16-45b5-ba8b-bea42ca0dd3c · outbound

This paper cites WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild.

DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:53.055468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 418dbcb1-e9c9-41db-a481-f0e5e0ea8caa · inbound

HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs cites this paper.

HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T08:29:26.083292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.