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Paper Citation Record · LEDGER

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2201.05966.

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

pith.paper-citation-record.v1
2201.05966 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:24:49.903316Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T21:23:27.746182Z

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 6ccb17f1-80e3-4c0d-9679-5c59b075f90b · inbound

Instruction Tuning with GPT-4 cites this paper.

Instruction Tuning with GPT-4 UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:04:18.146962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-14T17:04:08.782586Z digest=sha256:00608af82f11847fe76a9e4c16c5bd802adaa1c397d4956d8fe81216e9dae64f

Observation 1210dd7e-cfe9-4e19-ab78-d4080531d584 · inbound

QLoRA: Efficient Finetuning of Quantized LLMs cites this paper.

QLoRA: Efficient Finetuning of Quantized LLMs UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:29:53.776663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-11T13:29:53.345251Z digest=sha256:2d002596b39fbdcb39239f9f28dd4ced103d73f4104b457dae1b043eaf697cd3

Observation 515e799d-f36b-4320-a713-9a9feb8d35de · inbound

Recent Advances in Multimodal Affective Computing: An NLP Perspective cites this paper.

Recent Advances in Multimodal Affective Computing: An NLP Perspective UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

Reference 213

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:23:27.749631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-23T21:19:06.228443Z digest=sha256:a95e05c84733ae05cc8267cca6a91c863874aaad34b99c3ba453c6976fb3ac31

Observation c41c23c4-6cfb-4f24-bcad-7372801a84bb · inbound

LLaSA: Large Language and Structured Data Assistant cites this paper.

LLaSA: Large Language and Structured Data Assistant UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T19:24:49.903316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:24:49.903316Z digest=sha256:e1f28816fd46e9d0424477a1f514a3895cb7683a67f47819666adb4a3e6b902e

Observation 6b6b6fea-3697-430f-a9b2-fba7493fd9d1 · inbound

Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph cites this paper.

Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-12T10:37:51.090495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:37:51.090495Z digest=sha256:259814c3dfb5b452b1cdd88ac0942ff7e9081d4630d433780bf58aff58762fbd

Observation 27513089-0aaa-4ef7-82a6-a1185e1ba10a · inbound

Can the Rookies Cut the Tough Cookie? Exploring the Use of LLMs for SQL Equivalence Checking cites this paper.

Can the Rookies Cut the Tough Cookie? Exploring the Use of LLMs for SQL Equivalence Checking UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T20:39:47.238560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:39:47.238560Z digest=sha256:4e33a7e5b8611aa93c67925c75dee332f68c0be2d51d79adaa85b1f1dd7e4e1f

Observation 355b3c7a-6f3e-433a-8ef9-317b28cb31d9 · inbound

Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph cites this paper.

Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T15:19:24.762382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:19:24.762382Z digest=sha256:e0a3d1372d3135170e1e065fdc464a431e72c83a4ae71ad8cf77f3d7e18d2638

Observation e9a4bce6-1cc6-4acb-a236-43318a3ae764 · inbound

Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding cites this paper.

Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T16:22:50.884020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:22:50.884020Z digest=sha256:f7080c1dc70c9043afcc8df2247a3cea78641cbef697b67e5efea3f20246d501