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Paper Citation Record · LEDGER

GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2201.08860.

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

pith.paper-citation-record.v1
2201.08860 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:16:43.960646Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:36:45.026554Z

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 35fe0f12-8921-45f3-8b98-6d2f4e0a675d · inbound

HALvest-Contrastive: Retrieval-Like Authorship Attribution with Patch-Level Late Interaction cites this paper.

HALvest-Contrastive: Retrieval-Like Authorship Attribution with Patch-Level Late Interaction GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:13:36.442381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T23:10:50.208896Z digest=sha256:4f2d6bc5f31263e8a772d62d3e9c9c16bad71c12c15e05ef7b40ad540723a766

Observation b8cd8701-2a78-45d3-9164-d3897450dd96 · inbound

Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective cites this paper.

Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-12T05:16:43.960646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:16:43.960646Z digest=sha256:febb5d58c97c7c00a972b5305428859a2a04c19cc6af7c1fcfa519227c2d5992

Observation 7c1d408e-0150-491e-b503-691e0d4f8189 · inbound

Query-Aware Learnable Graph Pooling Tokens as Prompt for Large Language Models cites this paper.

Query-Aware Learnable Graph Pooling Tokens as Prompt for Large Language Models GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T04:37:32.083771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T04:36:06.247071Z digest=sha256:8e6664f2ca349efcf6fa99d4c974eda32edb4a4325d016c30513c60c90c61c31

Observation e5f3554e-edea-435f-88d4-57709b81eeb4 · inbound

From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data cites this paper.

From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:03.884173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:35:03.884173Z digest=sha256:9274f3c93baaf45b263ebd212a071a9ada04860997ecd1e8c46ede1c9cc2faf0

Observation f4d97989-01d9-42b6-b85f-690baf232a11 · inbound

FinRipple: Aligning Large Language Models with Financial Market for Event Ripple Effect Awareness cites this paper.

FinRipple: Aligning Large Language Models with Financial Market for Event Ripple Effect Awareness GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:42.853026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:24:42.853026Z digest=sha256:dd700d8315e56cafee4461aaf8e2d6869a562062d700ffbd5673c732b698d092

Observation 2d155ee0-7c43-46c0-90a7-f90889588a12 · inbound

Enhancing Large Language Models with Reliable Knowledge Graphs cites this paper.

Enhancing Large Language Models with Reliable Knowledge Graphs GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

Reference 129

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:58.198301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:58.198301Z digest=sha256:fdb266e84f8a937659ea5dc7ac6cfa57308133f5649034f8231682c7d76084c4

Observation 15d32bfa-b707-45f0-b425-d8c22d890b31 · inbound

Position: How can Graphs Help Large Language Models? cites this paper.

Position: How can Graphs Help Large Language Models? GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:10:43.059958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T18:48:03.257015Z digest=sha256:5c9dc3217acb58d950d6047b064c01d75a2fafc324e61e5c186abce4ac1432d9

Observation fd250c7f-4b6f-4cfc-a613-9a4f9c31f584 · inbound

EpiGraph: Building Generalists for Evidence-Intensive Epilepsy Reasoning in the Wild cites this paper.

EpiGraph: Building Generalists for Evidence-Intensive Epilepsy Reasoning in the Wild GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

Reference 56

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:41:37.698089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T04:03:34.773345Z digest=sha256:41011bcbe6a17fa03893633c594478cffd14c3e9bd718db921d274384bcb42ce

Observation b520e804-3e6e-452b-97d2-248ddc780c77 · inbound

EpiGraph: Building Generalists for Evidence-Intensive Epilepsy Reasoning in the Wild cites this paper.

EpiGraph: Building Generalists for Evidence-Intensive Epilepsy Reasoning in the Wild GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

Reference 56

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T21:27:59.795453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-14T21:25:31.662152Z digest=sha256:2f3408b6478efc6ac9eab56923ef3960c25715853fa7308d4e5008e0577f6d62

Observation 85404935-51ba-43a4-9093-2284571c36ff · inbound

SGR: A Stepwise Reasoning Framework for LLMs with External Subgraph Generation cites this paper.

SGR: A Stepwise Reasoning Framework for LLMs with External Subgraph Generation GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T18:58:53.888520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-20T18:56:42.603682Z digest=sha256:322715c8a39c9c73df6a6b9062c39b5b2f0768b88d94a4a9f8925b74dffaf5f4

Observation c914bfa9-f51e-46c4-bca7-e6a0388361a7 · inbound

Stepwise Reasoning Enhancement for LLMs via External Subgraph Generation cites this paper.

Stepwise Reasoning Enhancement for LLMs via External Subgraph Generation GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T07:36:45.027988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T06:50:34.916332Z digest=sha256:914c00c7169b5b64ae86235c1cf09f0bb2fd985f559804ca977dcd78b10a7087