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Paper Citation Record · LEDGER

The Compressive Knowledge Graph Hypothesis: Which Graph Facts Matter for Scientific Hypothesis Generation?

As of 9 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2605.27176.

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

pith.paper-citation-record.v1
2605.27176 v2

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T16:59:50.113957Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

9 of 9 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 47ad76b0-232c-42bc-8fee-0da71b1bec6d · outbound

This paper cites Rationalization for Explainable NLP: A Survey.

The Compressive Knowledge Graph Hypothesis: Which Graph Facts Matter for Scientific Hypothesis Generation? Rationalization for Explainable NLP: A Survey

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-29T17:03:40.899632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T16:59:50.113957Z digest=sha256:847270cfd745ecaf24f029d5b02413a3e8904f54347d1f434f5b9c5e9d30ab1e

Observation b8d36150-957b-403f-a48b-672b3056e843 · outbound

This paper cites Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation.

The Compressive Knowledge Graph Hypothesis: Which Graph Facts Matter for Scientific Hypothesis Generation? Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T17:03:40.902323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T16:59:50.113957Z digest=sha256:fca1c19766e10b83f4787b4c98c85edfa165f8d2058853d3eeeed555f4960442

Observation 92e74c81-8f2c-4502-a5eb-4c72cc7311b2 · outbound

This paper cites Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models.

The Compressive Knowledge Graph Hypothesis: Which Graph Facts Matter for Scientific Hypothesis Generation? Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T17:03:40.907143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T16:59:50.113957Z digest=sha256:c4c85983f1dda206461d3a9b9735359aa2bc2bea690a281e198c6af577f6d516

Observation 5e3816f7-24a8-4dd9-a101-a4703d93d64e · outbound

This paper cites ERNIE: Enhanced Language Representation with Informative Entities.

The Compressive Knowledge Graph Hypothesis: Which Graph Facts Matter for Scientific Hypothesis Generation? ERNIE: Enhanced Language Representation with Informative Entities

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T17:03:40.904685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T16:59:50.113957Z digest=sha256:668c6b6f7a650901bb268d0d07939243b0471beed95d883b70a8ef49beb9b089

Observation ba469591-4d85-4bdf-b395-6eef04786239 · outbound

This paper cites The full-KG output specifies a pressure-compensating phase-change material sys- tem and links it to thermal instability, capacity fade, and impedance growth.

The Compressive Knowledge Graph Hypothesis: Which Graph Facts Matter for Scientific Hypothesis Generation? The full-KG output specifies a pressure-compensating phase-change material sys- tem and links it to thermal instability, capacity fade, and impedance growth

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-29T16:59:50.113957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T16:59:50.113957Z digest=sha256:df9237b401a2b1c7f3247fc8a112e4692bd5b10a1248891fd0d8626087377002

Observation 108e5a77-000a-49cb-abbc-ce4d805609d9 · outbound

This paper cites The full-KG output focuses on thixotropic, shear-thinning inks and volatile co- solvent control to reduce coffee-ring effects and non-uniform morphology.

The Compressive Knowledge Graph Hypothesis: Which Graph Facts Matter for Scientific Hypothesis Generation? The full-KG output focuses on thixotropic, shear-thinning inks and volatile co- solvent control to reduce coffee-ring effects and non-uniform morphology

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-29T16:59:50.113957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T16:59:50.113957Z digest=sha256:2bb3de6baef2273b09f3651fb25b7823997f3402f801c6c665e007dc7ffc6b96

Observation f90897ef-cbf6-43d4-a034-a5ba3e0a95bd · outbound

This paper cites The full- KG output specifies a low-molecular-weight fluori- nated ether additive and links it to dense electrical double-layer ordering, screening, and desolvation impedance.

The Compressive Knowledge Graph Hypothesis: Which Graph Facts Matter for Scientific Hypothesis Generation? The full- KG output specifies a low-molecular-weight fluori- nated ether additive and links it to dense electrical double-layer ordering, screening, and desolvation impedance

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-29T16:59:50.113957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T16:59:50.113957Z digest=sha256:5f1681ed206f547bb4fecafe99462e532088d5a39f720318074271da15b72821

Observation c9a3cb37-1d88-4da4-8a91-df6f6ba075f4 · outbound

This paper cites The full-KG output proposes a conformal LiAlO2 coating and connects it to hydrofluoric-acid neu- tralization, parasitic surface reactions, and cycling stability.

The Compressive Knowledge Graph Hypothesis: Which Graph Facts Matter for Scientific Hypothesis Generation? The full-KG output proposes a conformal LiAlO2 coating and connects it to hydrofluoric-acid neu- tralization, parasitic surface reactions, and cycling stability

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-29T16:59:50.113957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T16:59:50.113957Z digest=sha256:a68e6f76bb1090026fecab24d85fafa605459ce7c143b85f5a1fff595c9465d5

Observation 725dba9c-d64f-4754-95c7-cfd433c5e97a · outbound

This paper cites no graph signal available,.

The Compressive Knowledge Graph Hypothesis: Which Graph Facts Matter for Scientific Hypothesis Generation? no graph signal available,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-29T16:59:50.113957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T16:59:50.113957Z digest=sha256:287e0207809df615c4b02cfb29aa41eaaee0e436fbc91f8362f6f26d6445e721

Pith citing papers

No inbound Pith citation observations are available.