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Paper Citation Record · LEDGER

Efficient support ticket resolution using Knowledge Graphs

As of 17 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2501.00461.

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

pith.paper-citation-record.v1
2501.00461 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:53:46.816380Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

10 of 10 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a0b6c93-fcbe-4815-8cb0-7eb428928446 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Efficient support ticket resolution using Knowledge Graphs BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T22:53:46.766002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:53:46.766002Z digest=sha256:df48c99d577e7bbfbf7593bcbe6befc435f6cf1174d764bd144217fa5da6b94b

Observation 1e9cf65f-8efc-4800-b32e-dd8b7091bdc1 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Efficient support ticket resolution using Knowledge Graphs RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T22:53:46.771917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:53:46.771917Z digest=sha256:4873a3ea141ae694af44def7ae1f5f71b1439dd728f1114e9d78c163154a28bc

Observation 2b916f64-c976-4687-9647-39f2e378c826 · outbound

This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

Efficient support ticket resolution using Knowledge Graphs ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T22:53:46.779173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:53:46.779173Z digest=sha256:283abda288c6d2509354461ceb79be345190ee8b07307a7dcceb9f3170a0ba3d

Observation 3c5a5d8a-8f48-477f-8454-8cbf253bacb2 · outbound

This paper cites Language Models are Few-Shot Learners.

Efficient support ticket resolution using Knowledge Graphs Language Models are Few-Shot Learners

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T22:53:46.785068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:53:46.785068Z digest=sha256:fb39be8b9bcf4a11f711f8afda04c699036879e617e845b5a5e1c86f9809527f

Observation 0c1fa186-c82c-4cff-86c3-3c8783c4b76b · outbound

This paper cites XLNet: Generalized Autoregressive Pretraining for Language Understanding.

Efficient support ticket resolution using Knowledge Graphs XLNet: Generalized Autoregressive Pretraining for Language Understanding

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T22:53:46.790512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:53:46.790512Z digest=sha256:d9150e0eed004225a20717e0c25139e3897b77ed10c5cea9780b52234ea61d69

Observation 185b2890-2960-4239-9f81-785f28c168a7 · outbound

This paper cites Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.

Efficient support ticket resolution using Knowledge Graphs Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T22:53:46.796212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:53:46.796212Z digest=sha256:633fae4eea35f23a9a29262855e5097bb14459bc9c92c7e26d6735c20bc4582b

Observation e67ceb53-6268-46d9-995d-f51e5cf9aa1f · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Efficient support ticket resolution using Knowledge Graphs Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T22:53:46.801774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:53:46.801774Z digest=sha256:8752c0509ee3e3be916eed78b785fa69779e8a38433c3b4cc9264caf6ef02434

Observation 44f1be51-02af-46f7-8156-f2a3b80483b7 · outbound

This paper cites Inductive Representation Learning on Large Graphs.

Efficient support ticket resolution using Knowledge Graphs Inductive Representation Learning on Large Graphs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T22:53:46.807939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:53:46.807939Z digest=sha256:360bbe6e4d26feb96d4482e7d0abd9b93685526047be20c82de953f041facc30

Observation ae4519d0-2fa1-47e1-a12d-37cca5c52e0f · outbound

This paper cites Since, the total number of engineering experts are almost constant compared to the incoming incidents, a ranking all the engineers can be done with minimal memory resources.

Efficient support ticket resolution using Knowledge Graphs Since, the total number of engineering experts are almost constant compared to the incoming incidents, a ranking all the engineers can be done with minimal memory resources

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:53:47.007453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:53:46.760032Z digest=sha256:97b82a58436bf0bc6b077a7ae3267a234c178c8333e364e820ba912150706a55

Observation 3fb55b31-4d30-4b85-a2b6-d19dae8d3ebe · outbound

This paper cites Graph Convolutional Neural Networks for Web-Scale Recommender Systems.

Efficient support ticket resolution using Knowledge Graphs Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:53:46.861139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:53:46.816380Z digest=sha256:5e6e17cda9f04db2fee19b9d99d1f53ee16d476cd1b30787af63271b732fb6b2

Pith citing papers

No inbound Pith citation observations are available.