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Paper Citation Record · LEDGER

Dialogue State Tracking with a Language Model using Schema-Driven Prompting

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2109.07506.

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

pith.paper-citation-record.v1
2109.07506 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:46:08.453749Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:41:38.156745Z

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 49417a56-47fc-48ba-8bec-77b7b229b69b · inbound

PicPersona-TOD : A Dataset for Personalizing Utterance Style in Task-Oriented Dialogue with Image Persona cites this paper.

PicPersona-TOD : A Dataset for Personalizing Utterance Style in Task-Oriented Dialogue with Image Persona Dialogue State Tracking with a Language Model using Schema-Driven Prompting

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:08.453749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:46:08.453749Z digest=sha256:c25322651807a550b6f0c08b644ac206e9b829c3ef10a11c2286b3217d608f2d

Observation ec2572f3-6e78-4d74-b205-fbee40b8128f · inbound

MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents cites this paper.

MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents Dialogue State Tracking with a Language Model using Schema-Driven Prompting

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:02:12.155198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:02:12.155198Z digest=sha256:8bf485bb280b5e6caf10959d4f116ffcb5640acfe1f66931fffe016061ce18f0

Observation 480796cc-904c-450a-bdb2-62b392f3fffa · inbound

Pluri-perspectivism in Human-robot Co-creativity with Older Adults cites this paper.

Pluri-perspectivism in Human-robot Co-creativity with Older Adults Dialogue State Tracking with a Language Model using Schema-Driven Prompting

Reference 32

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T18:41:38.208462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T18:41:35.936883Z digest=sha256:7c4b0181cf7d20758a6ba20747fddec0193fb339f4a6068e095ec39006207304

Observation d117f1d4-aeef-4142-83a8-0e23c1df9e02 · inbound

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs cites this paper.

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs Dialogue State Tracking with a Language Model using Schema-Driven Prompting

Reference 170

Resolution
unresolved
no resolver link, observed 2026-08-04T13:44:05.536306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:44:05.536306Z digest=sha256:cd7da95124f325d403fee2b429d6ddf3bd57e2b755b77897dbd73ca8a347939d

Observation 315439bf-9d87-456e-a783-635819431623 · inbound

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs cites this paper.

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs Dialogue State Tracking with a Language Model using Schema-Driven Prompting

Reference 170

Resolution
unresolved
no resolver link, observed 2026-08-07T00:11:49.663585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:11:49.663585Z digest=sha256:6d259e554c8ceacef5b2c8fac7baf7cb93c85656f4a3b265f25f8f8619155f6a