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Paper Citation Record · LEDGER

Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1909.05855.

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

pith.paper-citation-record.v1
1909.05855 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:00:25.045981Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 70420777-962f-4172-bb15-c0df4ebfc55f · inbound

The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs cites this paper.

The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T01:00:25.045981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:00:25.045981Z digest=sha256:bb504140d228fcea42a13e8c78bd00f6bfef58fc96aca76dd2818c9f1b527a06

Observation d0d558e4-35e0-4fd5-a258-3b5fa49f5aa8 · inbound

PyTOD: Programmable Task-Oriented Dialogue with Execution Feedback cites this paper.

PyTOD: Programmable Task-Oriented Dialogue with Execution Feedback Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T17:57:28.122546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:57:28.122546Z digest=sha256:fbc5e91fa985f9e363522f83bf918c87df7fa7a05c874db1e17d736a2cb3fd97

Observation 84cc839d-03c4-4209-ac1a-a3663cf00299 · inbound

MATRIX: Multi-Agent simulaTion fRamework for safe Interactions and conteXtual clinical conversational evaluation cites this paper.

MATRIX: Multi-Agent simulaTion fRamework for safe Interactions and conteXtual clinical conversational evaluation Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T15:59:45.315060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:59:45.315060Z digest=sha256:c5dba51b9b19238e25b9434023659357163907ff61888785e4dad075ea0de5da

Observation 18953466-e865-42d7-b743-bf41e8388c07 · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset

Reference 135

Resolution
unresolved
no resolver link, observed 2026-08-05T15:38:50.997013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:38:50.997013Z digest=sha256:60852d4b72811265b64bbbf3326bbf331507ed89a0126bd049402a6fa3f654fb

Observation b7b23740-321f-4cbb-908e-f3d64ca927ce · inbound

COMPASS: Benchmarking Constrained Optimization in LLM Agents cites this paper.

COMPASS: Benchmarking Constrained Optimization in LLM Agents Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T08:46:07.890753Z

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=2026-05-18T08:45:11.334594Z digest=sha256:96f453ab0a17598837e27a38d17e1777bd332a76102fadce30d3bd8ac01e61c5

Observation 0daca172-6c01-4427-894b-564b4e5aee9c · inbound

Dual Hierarchical Dialogue Policy Learning for Legal Inquisitive Conversational Agents cites this paper.

Dual Hierarchical Dialogue Policy Learning for Legal Inquisitive Conversational Agents Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:25:03.610297Z

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=2026-05-15T05:21:09.512348Z digest=sha256:f5f60625a1b6be4fea4e1c15b72748c08428720e06e231b534d6d26f53f66adf

Observation c9d91d64-dd90-4b43-bb1b-4170d0fac0c7 · inbound

Dual Hierarchical Dialogue Policy Learning for Legal Inquisitive Conversational Agents cites this paper.

Dual Hierarchical Dialogue Policy Learning for Legal Inquisitive Conversational Agents Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:52:19.674891Z

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=2026-05-19T13:49:16.876877Z digest=sha256:023fd4a5842fb4db239f26008c2d46d980bbd503c39c148bde002ad696dca5da