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Paper Citation Record · LEDGER

Understanding Transformer Reasoning Capabilities via Graph Algorithms

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.18512.

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

pith.paper-citation-record.v1
2405.18512 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:17:22.425093Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 11a81b94-a9f9-48ce-b1fe-5b0ca5479d32 · inbound

Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers cites this paper.

Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers Understanding Transformer Reasoning Capabilities via Graph Algorithms

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T22:17:22.425093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:22.425093Z digest=sha256:2df872d80b5a28a8f1444877e86009a2e0adf6d1d136daf393b5e069d8134a05

Observation 2669e4e7-1f0e-4ab0-8527-94308893de45 · inbound

Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation cites this paper.

Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation Understanding Transformer Reasoning Capabilities via Graph Algorithms

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-09T17:37:40.747108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:37:40.747108Z digest=sha256:e35b5ccaf32e9ddd91859f081504873c3b82970e488bb984ceb9efd8dd755fa3

Observation f8097cbb-e197-4a3b-b5ea-cb4eb9dceede · inbound

Learning Compositional Functions with Transformers from Easy-to-Hard Data cites this paper.

Learning Compositional Functions with Transformers from Easy-to-Hard Data Understanding Transformer Reasoning Capabilities via Graph Algorithms

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T12:46:39.144554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:46:39.144554Z digest=sha256:3c4cec50610276eb720cf3153730012f2f88f43161e9e8dc98930a63e63e06b6

Observation 0b6ac47f-512a-4b02-841d-ee48babac68c · inbound

Are Large Language Models Good Temporal Graph Learners? cites this paper.

Are Large Language Models Good Temporal Graph Learners? Understanding Transformer Reasoning Capabilities via Graph Algorithms

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T11:09:43.915219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:09:43.915219Z digest=sha256:ba85d9f7b2d60885f76479dd8474e38d046009cad99d1135e973e0688b8da868

Observation a300933b-2284-4661-ac6d-eda5f5ba9374 · inbound

Deep sequence models tend to memorize geometrically; it is unclear why cites this paper.

Deep sequence models tend to memorize geometrically; it is unclear why Understanding Transformer Reasoning Capabilities via Graph Algorithms

Reference 154

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T20:40:36.252006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T20:38:18.005002Z digest=sha256:588210ea8d3422c3232dec71896050ecb4a502d5ef219e7a1bf4db2fd15d5c88

Observation d260e0e3-32b2-4357-83f6-63c8eb036388 · inbound

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks cites this paper.

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks Understanding Transformer Reasoning Capabilities via Graph Algorithms

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:13:57.702159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-09T15:09:03.417040Z digest=sha256:cb9886720f26c957ac99caadf99dbaa3ee7e8fb23a1c674fc292f2450b02b0a2

Observation 4a2bfd8d-50cd-4132-ab88-89aa984edea7 · inbound

Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers cites this paper.

Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers Understanding Transformer Reasoning Capabilities via Graph Algorithms

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:04:41.439587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-22T07:03:52.438466Z digest=sha256:41719812f8d0644d48eacc7fa1011ecc263886175193224b127a1acdca86b3c6