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Paper Citation Record · LEDGER

Can neural networks acquire a structural bias from raw linguistic data?

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.06761.

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

pith.paper-citation-record.v1
2007.06761 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:43:26.560444Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

29
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5d75636b-c52f-49a9-bb5b-97d7a775f582 · inbound

Tree Transformers are an Ineffective Model of Syntactic Constituency cites this paper.

Tree Transformers are an Ineffective Model of Syntactic Constituency Can neural networks acquire a structural bias from raw linguistic data?

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T12:43:26.560444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:43:26.560444Z digest=sha256:c352dabd62131b958cd3d523f18a7269b7da2189d196294f21cc15b96e8df4bf

Observation 0f123805-be66-4762-b0ef-f4519e2e4d49 · inbound

Language Models Generalize to Human-like Word Order Preferences cites this paper.

Language Models Generalize to Human-like Word Order Preferences Can neural networks acquire a structural bias from raw linguistic data?

Reference 40

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T11:11:27.727294Z

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=arxiv_source observed=2026-08-06T11:11:27.233929Z digest=sha256:4ef7a49cfed44ce4542e122107183273e431d01b628e6a8678528f2df39e8437