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Paper Citation Record · LEDGER

Intent-driven In-context Learning for Few-shot Dialogue State Tracking

As of 13 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2412.03270.

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

pith.paper-citation-record.v1
2412.03270 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:38:57.361516Z

measured 28 of 28 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee508d99-ddd7-44ec-8185-1ad24e160fe5 · outbound

This paper cites A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T22:38:55.956088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:38:55.956088Z digest=sha256:f43b1f8d6ad77ac01299ccceda5bb8e70cc8a71bfc05ef7cd2eb2ab4a0d49680

Observation 59e871eb-2385-4a3c-9c5d-ebe1c3a46f12 · outbound

This paper cites an unresolved cited work.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:38:59.697364Z

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.

source=pdf_text observed=2026-08-11T22:38:56.134761Z digest=sha256:db953cebe6ccb57b3ced40b009ec3b067340d3207777f60e2f963bc92ee2114f

Observation f27d0dfb-8ddc-419f-9563-cadcf66c4d16 · outbound

This paper cites an unresolved cited work.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T22:38:56.270238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:38:56.270238Z digest=sha256:c89bdbf568afc0a77d28da2d480e40b72a8fd2ecb0191e9fdc8bc5415329e822

Observation f16c213d-bc10-4c26-a1d2-c1cde5c2f8b7 · outbound

This paper cites an unresolved cited work.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:38:59.579402Z

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.

source=pdf_text observed=2026-08-11T22:38:56.324872Z digest=sha256:466a22e6907963817d5a2f0b649f12bf3dcdf6ec30103370f813e3f41c6e51e8

Observation f86bed9e-ddfb-47d6-8daa-4fb3ca8c8e40 · outbound

This paper cites Language models are few-shot learners[C]//Proceedings of the 34th International Conference on Neural Information Processing Systems.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Language models are few-shot learners[C]//Proceedings of the 34th International Conference on Neural Information Processing Systems

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:38:59.513517Z

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.

source=pdf_text observed=2026-08-11T22:38:56.354757Z digest=sha256:bc269526f8467c9a5d32212b535b11699bb173afd08f53744ecacab983c8c7b8

Observation 8b0738e2-6d7d-475b-a3a1-0963d99ec15c · outbound

This paper cites an unresolved cited work.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:38:59.483914Z

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.

source=pdf_text observed=2026-08-11T22:38:56.400662Z digest=sha256:372e18c68596ad739a774f93f727331ed8ca15e56c1f4dc932376d00fe5be873

Observation 5c60613f-14b0-4e60-8388-2dc2653a8f57 · outbound

This paper cites an unresolved cited work.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T22:38:56.440633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:38:56.440633Z digest=sha256:5cafcb31bf49bb79aed66f650e3ca194a42787a34b36f9f083444e28482f1eba

Observation 025b7dae-27e9-4062-91ad-5abf6f5ceefa · outbound

This paper cites an unresolved cited work.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T22:38:56.454869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:38:56.454869Z digest=sha256:2fd26619b237fe20e9aa2c7006c194e4ac78e185e954810d326e37ae8b9c6689

Observation a4ab1901-c4a9-42fc-be0e-72fe6140d396 · outbound

This paper cites an unresolved cited work.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:38:59.437824Z

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.

source=pdf_text observed=2026-08-11T22:38:56.494760Z digest=sha256:8cb3faffc561e405c6ec348dead33b692d7cbe9eb7a626bb6f67a73b455beafb

Observation 9b08dc1a-b496-41b5-b260-e9a0ada554ab · outbound

This paper cites A Survey of Hallucination in Large Foundation Models.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking A Survey of Hallucination in Large Foundation Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T22:38:56.614760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:38:56.614760Z digest=sha256:78e76c7f13417686d3263041ff45cadd9b34f020488a8bbe0bd6bf1035026332

Observation 2388e5ed-4cd4-47d1-a8e6-4e770fb27e69 · outbound

This paper cites Smith, and Mari Ostendorf.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Smith, and Mari Ostendorf

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:38:59.334731Z

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.

source=pdf_text observed=2026-08-11T22:38:56.717266Z digest=sha256:ff4349145ad749e978a718ce01fa5b39c8560e585980df3e6584fb7a524fc68f

Observation 87061d01-927d-4977-93c2-89c04e4a6d86 · outbound

This paper cites an unresolved cited work.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:38:59.241726Z

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.

source=pdf_text observed=2026-08-11T22:38:56.767951Z digest=sha256:005a3b7df9e843ca414f78ebbcb38e16439e198c604231f7a7cd019872ea5fdd

Observation 9657887a-4c80-4218-89da-89bbe4eadbd3 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer[J].

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Exploring the limits of transfer learning with a unified text-to-text transformer[J]

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:38:59.100405Z

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.

source=pdf_text observed=2026-08-11T22:38:56.784892Z digest=sha256:1679d3f7a3ffb7d250c0f17437d3c09d8472be3aabcf7de459bdc9543abbee08

Observation e4bbecea-dd18-4e27-bfb8-2973f5f22e11 · outbound

This paper cites an unresolved cited work.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:38:59.025015Z

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.

source=pdf_text observed=2026-08-11T22:38:56.834758Z digest=sha256:8112360c5c1818f5f39dbe937af1bbdfbc7d614b7421b05c7ed43cfccbc8403f

Observation 05aea17c-211c-4a93-816d-405177871556 · outbound

This paper cites an unresolved cited work.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:38:58.976070Z

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.

source=pdf_text observed=2026-08-11T22:38:56.882901Z digest=sha256:67c69e542def4024d46f5e9a8420df49edf7ea4b7f2bf25dae772c185852a680

Observation 2d523481-d18c-4063-813a-8aa76b00e27f · outbound

This paper cites Word-based dialog state tracking with recurrent neural networks[C]//Proceedings of the 15th annual meet- ing of the special interest group on discourse and dialogue (SIGDIAL).

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Word-based dialog state tracking with recurrent neural networks[C]//Proceedings of the 15th annual meet- ing of the special interest group on discourse and dialogue (SIGDIAL)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:38:58.922034Z

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.

source=pdf_text observed=2026-08-11T22:38:56.934848Z digest=sha256:bb6b029f3a8632ed1ea6149fbe877ce0a0491a58ed32a2361d21c7eea013b4ab

Observation ccad8e72-3a8e-4d95-a147-95f430c1f059 · outbound

This paper cites an unresolved cited work.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:38:58.874754Z

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.

source=pdf_text observed=2026-08-11T22:38:56.995913Z digest=sha256:6edc0db803b18ba8c8d0796856b01dcb3e501de106631d4240e2e9df45060e7f

Observation 51a5578f-3ca2-4b4f-8dcf-4aee7632665b · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Code Llama: Open Foundation Models for Code

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T22:38:57.034764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:38:57.034764Z digest=sha256:369f0ccaa2d589195bad2a2b3da2548977037fedb28a10431a2c2ec7becd56ee

Observation c186375b-8e75-44d7-8e33-c77d8e0d4132 · outbound

This paper cites an unresolved cited work.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:38:58.739788Z

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.

source=pdf_text observed=2026-08-11T22:38:57.135086Z digest=sha256:669d4c96e0825f26153007d74f397a487a26cbba6b0cecfa9acf08d0e3764154

Observation dfdc99a6-2224-4a11-977e-4712c452f44a · outbound

This paper cites Dialogue State Tracking with a Language Model using Schema-Driven Prompting[C]//Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Dialogue State Tracking with a Language Model using Schema-Driven Prompting[C]//Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:38:58.711480Z

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.

source=pdf_text observed=2026-08-11T22:38:57.224754Z digest=sha256:3918653459164b3fe9618e08a85453d841d48753e68c3103e66aca784ced305d

Observation 79a6d599-78a1-4d4f-a494-f6733beeecaf · outbound

This paper cites an unresolved cited work.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:38:58.654783Z

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.

source=pdf_text observed=2026-08-11T22:38:57.250338Z digest=sha256:bd274b10a7114735c3b54a842b2704467cbaa2e8865c0e447cb30ee4e86ed8bc

Observation 799ecf63-1bc6-45e5-a29a-ee796e2669f8 · outbound

This paper cites an unresolved cited work.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T22:38:57.267439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:38:57.267439Z digest=sha256:b659a6594e20ef0b1f474fe6c35c5325a5cd5157232de559b86ebbeda9150040

Observation f6a62c1b-1ae2-4378-a12a-3df71c5401e3 · outbound

This paper cites an unresolved cited work.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:38:58.611752Z

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.

source=pdf_text observed=2026-08-11T22:38:57.301982Z digest=sha256:7c23ad9c4efd0917c7b169169880bb41df73c317aaacba271d452bdf2a4d7193

Observation 5b8eb393-efb8-4695-99c1-3ca8b3787434 · outbound

This paper cites Towards LLM-driven Dialogue State Tracking[C]//Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Towards LLM-driven Dialogue State Tracking[C]//Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:38:58.521906Z

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.

source=pdf_text observed=2026-08-11T22:38:57.328433Z digest=sha256:8151ed5ba5f30daa564f199cc464a693fb00797e30f78c6fffc77107dcf58b22

Observation 30a24cbe-6e95-45ba-8e4e-3fc8e58563f6 · outbound

This paper cites Building Multi-domain Dialog State Trackers from Single-domain Dialogs[C]//Proceedings of the 2023 Con- ference on Empirical Methods in Natural Language Processing.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Building Multi-domain Dialog State Trackers from Single-domain Dialogs[C]//Proceedings of the 2023 Con- ference on Empirical Methods in Natural Language Processing

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:38:58.402290Z

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.

source=pdf_text observed=2026-08-11T22:38:57.333767Z digest=sha256:beb953a33327b05ed82f3c8253528c058fa140be811000a40a96d100d4ae8292

Observation 37135db6-b1b7-4fd1-ad1e-a4e4c06e02a7 · outbound

This paper cites an unresolved cited work.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:38:58.297862Z

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.

source=pdf_text observed=2026-08-11T22:38:57.353860Z digest=sha256:1fd3b39334c8d0ce333919cf52eb12ec0ab8bb943b2e0fd5e75e5c965c8a632a

Observation 32dda6a1-9307-4e74-b175-14bbfe44ab30 · outbound

This paper cites TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking[C]//Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking[C]//Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:38:58.229199Z

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.

source=pdf_text observed=2026-08-11T22:38:57.361516Z digest=sha256:b19ad25b2287825d775dde44959d1f1519856d2a7965212945e9f83db207bc56

Observation c3c9afb0-c3af-49f2-bd09-8aa02a05925f · outbound

This paper cites an unresolved cited work.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Unresolved cited work

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-11T22:38:56.151849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:38:56.151849Z digest=sha256:ec7807b13fb0d3c92d14e1f0832d9fc2c377e3808c346930116ad3d1fbe9162a

Pith citing papers

No inbound Pith citation observations are available.