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Paper Citation Record · LEDGER

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models

As of 18 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2501.18119.

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

pith.paper-citation-record.v1
2501.18119 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:40:52.590724Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved6
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 89c3b3d6-4a25-4a79-9d7a-cf50b888e7e6 · outbound

This paper cites Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability.

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T00:40:52.558374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 10dfb7e7-5752-4d3d-bd4a-a2330e744f76 · outbound

This paper cites GPT-4 Technical Report.

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models GPT-4 Technical Report

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T00:40:52.565202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:40:52.565202Z digest=sha256:4e7dd1048ba490df479cfe374b9e41c8c0a583a778af9210a16401e913ce0eaf

Observation 29aa35f3-b28e-41c2-97e7-811a046dc507 · outbound

This paper cites Exploring Large Language Models for Knowledge Graph Completion.

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models Exploring Large Language Models for Knowledge Graph Completion

Reference 6

Resolution
malformed identifier
no resolver link, observed 2026-08-10T00:40:52.568330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:40:52.568330Z digest=sha256:8b850840093f5e6b09be5e137b34fddd82bed3b31ce941c1a5d0e4d4f4fd7470

Observation d0796d77-eaf9-40d4-9cb3-18fef3d39e5a · outbound

This paper cites The instruction format of triple classification is shown in Table 7.

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models The instruction format of triple classification is shown in Table 7

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:40:52.691225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T00:40:52.574210Z digest=sha256:aa6f2794c2c9f0c313a3bc87f023c62cc741726180514a073ca61d263c54dcd5

Observation 8e1f7a07-6478-4d8e-81e4-e6fa4fc240f8 · outbound

This paper cites Jessica Lange.

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models Jessica Lange

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:40:52.659969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T00:40:52.585392Z digest=sha256:ebb16cf512f1b25a97319be3095e396261804544b911e937eaf4e06f077ee592

Observation 40934fb2-8600-4792-a2ff-dd47df09afc7 · outbound

This paper cites Carl Foreman.

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models Carl Foreman

Reference 333

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:40:52.675265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T00:40:52.579914Z digest=sha256:2d8925687f977a4a4432fd58e6d52c0d156a2de3ca03cd6adf439912fe2ce23a

Observation 2a02eba7-85de-4523-8042-affa120b35b3 · outbound

This paper cites an unresolved cited work.

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models Unresolved cited work

Reference 677

Resolution
unresolved
raw_fallback, observed 2026-08-10T00:40:52.667499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T00:40:52.582638Z digest=sha256:9dc4231b80c6c02771a855031e23226b1bd257b414030ccb8424a3579d24e31c

Observation 30b2b131-f70c-420f-ad1e-aebd38c30218 · outbound

This paper cites an unresolved cited work.

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models Unresolved cited work

Reference 693

Resolution
unresolved
raw_fallback, observed 2026-08-10T00:40:52.652214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T00:40:52.588030Z digest=sha256:814a19e5c15dae0929fb34e1f5f4632c18751a9232869f80793293a0fc78b233

Observation c118458f-c338-40c9-85cc-5569d461bb2a · outbound

This paper cites LLM Output: False Ground Truth: False Table 10: Two cases on FB15k-237N dataset for triple classification using LLaMA2.

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models LLM Output: False Ground Truth: False Table 10: Two cases on FB15k-237N dataset for triple classification using LLaMA2

Reference 727

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:40:52.643963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T00:40:52.590724Z digest=sha256:5834b09008405fe5f54bfd8bf44779dc3b22c48b920e55969f81c6e6f7c5b610

Observation 88e6134d-0546-49b4-8b35-4d2f0c6b5be6 · outbound

This paper cites The code of ground truth therapy is ranked to the first position from 17-th.

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models The code of ground truth therapy is ranked to the first position from 17-th

Reference 944

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:40:52.683245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T00:40:52.577207Z digest=sha256:2e71dab0bcde741198fe82f634f9a8d0a3e31c6926b6c2d1ddcfd74dc3fb0643

Observation 5470f2e9-f806-4037-8ec4-115f48ec8103 · outbound

This paper cites For LLM tuning, we utilize 4 NVIDIA H100 GPUs and the learning rate is set to 2e-5 with 3% warmup ra- tio.

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models For LLM tuning, we utilize 4 NVIDIA H100 GPUs and the learning rate is set to 2e-5 with 3% warmup ra- tio

Reference 1024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:40:52.698859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T00:40:52.571736Z digest=sha256:8e78b56513561d55d163c3b0ffb2ebbf0dab3b2c231a3bf10103218e771fcfea

Observation 0e0bd5ce-e7a6-4870-9cf6-1c21cef4a14c · outbound

This paper cites In NIPS, pages 2787–2795.

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models In NIPS, pages 2787–2795

Reference 2013

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:40:52.706571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T00:40:52.551629Z digest=sha256:4e3d646d5dddcd56fd2e565ebb77382269d8747fe60e73a76e12e4101e00117e

Observation ef061cff-6b9e-4fa8-9758-dcf9d402e1a8 · outbound

This paper cites Combining Knowledge Graphs and Large Language Models.

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models Combining Knowledge Graphs and Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T00:40:52.561541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:40:52.561541Z digest=sha256:38d2feaccc06cf0a4e9c6e1f6d192bb9a04d7f1ed29075604c3626b1531b6062

Observation 29102f16-2a40-43b1-826b-eac889fbbec9 · outbound

This paper cites Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture.

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-10T00:40:52.555146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:40:52.555146Z digest=sha256:452952fe7657a6a9980f3ca864a83eca6424ea53a5a0cae7fb482e8f06b60935

Pith citing papers

No inbound Pith citation observations are available.