Pith. sign in

Paper Citation Record · LEDGER

SLOT: Structuring the Output of Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2505.04016.

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

pith.paper-citation-record.v1
2505.04016 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:13:43.827021Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:49:31.111917Z

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 a1ec33b8-13d4-4da3-a5e2-f87d347877fe · inbound

XML Prompting as Grammar-Constrained Interaction: Fixed-Point Semantics, Convergence Guarantees, and Human-AI Protocols cites this paper.

XML Prompting as Grammar-Constrained Interaction: Fixed-Point Semantics, Convergence Guarantees, and Human-AI Protocols SLOT: Structuring the Output of Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T21:13:43.827021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:13:43.827021Z digest=sha256:2a2c46b3a67536cad4ea77807c740e5791818747d62bb8bec2d3dfef893e9410

Observation 039930c8-b566-4074-ab00-bf3f72ad4aab · inbound

ScrapeGraphAI-100k: Dataset for Schema-Constrained LLM Generation cites this paper.

ScrapeGraphAI-100k: Dataset for Schema-Constrained LLM Generation SLOT: Structuring the Output of Large Language Models

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-15T21:36:40.423634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T21:35:51.582532Z digest=sha256:771553676c9c6d05884c88250c44eb7d86a67c98ba08dae95a9ead476b44db80

Observation b70f806a-f14e-4e14-9245-7087d2334fc6 · inbound

BLUEmed: Retrieval-Augmented Multi-Agent Debate for Clinical Error Detection cites this paper.

BLUEmed: Retrieval-Augmented Multi-Agent Debate for Clinical Error Detection SLOT: Structuring the Output of Large Language Models

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:16:01.485614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T16:44:21.688397Z digest=sha256:543170d868b095feebbe022180590b901ff6f0f7cf6898b09954a59af7273d78

Observation 2d9786da-48f6-4067-8a69-28c9ecb2eec8 · inbound

Schema Key Wording as an Instruction Channel in Structured Generation under Constrained Decoding cites this paper.

Schema Key Wording as an Instruction Channel in Structured Generation under Constrained Decoding SLOT: Structuring the Output of Large Language Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:15:10.110911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T11:14:29.764233Z digest=sha256:da276429c7d175ee6e5534c49679ab936f6d8122ea7116f7e88bee2d813a0cd1

Observation 1c1e2ad4-c5b2-4ba1-8f67-5690cddbf099 · inbound

Automating Information Extraction and Retrieval for Industrial Spare Parts Pooling cites this paper.

Automating Information Extraction and Retrieval for Industrial Spare Parts Pooling SLOT: Structuring the Output of Large Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-02T05:16:39.432693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T08:22:24.548686Z digest=sha256:982eab83a38816b6bc69a122938c82465e5594df5081d677f4558bdcc84d2533

Observation b533262a-bd0e-4bff-9b05-2aeff546f71e · inbound

Operationalizing Linguistic Methods through Prompt-Engineering Skills: An Automatic Chinese Web Neologism Detection Pipeline cites this paper.

Operationalizing Linguistic Methods through Prompt-Engineering Skills: An Automatic Chinese Web Neologism Detection Pipeline SLOT: Structuring the Output of Large Language Models

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T22:37:26.664873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T18:41:54.877531Z digest=sha256:f27f4f38069f3c5cbfd63d684da62f29e2b66a05bfdd9bc4b7e44a4c42479e96

Observation 60c1a7b4-2fb4-4ab9-9261-fc0e0e5c0b4b · inbound

Empirical Study for Structured Output Control in LLMs for Software Engineering cites this paper.

Empirical Study for Structured Output Control in LLMs for Software Engineering SLOT: Structuring the Output of Large Language Models

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T02:47:37.510055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T15:42:28.064820Z digest=sha256:e85a28f5fc17a714a681af8ef9dcff2c557d287d7ba58c87fd7886fda9a61025

Observation ab3d6eb1-9cd3-4dac-9cf5-6f6ca71390f7 · inbound

Source-Grounded Data Generation for Text-to-JSON Learning cites this paper.

Source-Grounded Data Generation for Text-to-JSON Learning SLOT: Structuring the Output of Large Language Models

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:49:31.115273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T17:32:16.018909Z digest=sha256:a94075fb6db7593e71e97fefdabe2d51d8f207d16c8b8484bf860ebcad7ad776

Observation ff3f4315-ac9c-40bb-8dd8-cd438f2811e2 · inbound

Large Databases Need Small, Open-Weight Language Models cites this paper.

Large Databases Need Small, Open-Weight Language Models SLOT: Structuring the Output of Large Language Models

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:25:42.250062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T05:29:08.391011Z digest=sha256:829357401a5199bc17337bd18645512815d0c7149ec5f81eb6d8ba9b7b8f55e2