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Paper Citation Record · LEDGER

NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2106.12144.

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

pith.paper-citation-record.v1
2106.12144 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:58:22.039654Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T11:46:12.985698Z

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 7675641f-0d7d-4355-bdda-9706e14b1ef7 · inbound

Fault Localization in Deep Learning-based Software: A System-level Approach cites this paper.

Fault Localization in Deep Learning-based Software: A System-level Approach NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T21:58:22.039654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:58:22.039654Z digest=sha256:55039c2b52709444e9f1755a796566ba54aacf51e41629e61d91200162cce224

Observation bf9db780-e2d5-4f91-99bf-59b39d7b3a79 · inbound

Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning cites this paper.

Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T13:25:16.309043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:25:16.309043Z digest=sha256:1edd6821b50ca48875a4d39b0aed156579c0c7ed84b879d170f8aa1264188216

Observation f4a9bfa0-e8cd-4abf-9578-85ba8f7faab1 · inbound

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning cites this paper.

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:50:28.962953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T07:49:39.057087Z digest=sha256:2e76ca762191be8d9afeed161e69a4bb7401340a5277082ed773299bb6aaee2f

Observation 8d710772-6dcf-48a7-bf89-a260bab36fb3 · inbound

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning cites this paper.

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T10:00:48.022787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:00:48.022787Z digest=sha256:4ebd68b0ea51f81056970f54e46aa3e7ef65225b0aa671b7560853b9e4029b55

Observation 7c362e24-9292-446a-bd63-18fe86cc2dad · inbound

InductWave: Inductive Multi-Hop Logical Query Answering on Knowledge Graphs cites this paper.

InductWave: Inductive Multi-Hop Logical Query Answering on Knowledge Graphs NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-09T11:46:12.987048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-09T11:39:24.051110Z digest=sha256:9664317f602bf8cd63147bc3a41c66b464f069dc2f0f2c5a0496dda1f2caca75