Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T03:11:37.507471Z
Paper Citation Record · LEDGER
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression
As of 9 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2602.08885.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
10 of 10 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved9
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4e716c91-8ee3-422b-aa26-b58dbe8f1d81 · outbound
This paper cites an unresolved cited work.
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression Unresolved cited work
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:11:37.493058Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fad9c3c1-02b2-48d7-8cfb-50378fc68619 · outbound
This paper cites an unresolved cited work.
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression Unresolved cited work
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:11:37.497223Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00d7a262-c0ca-4ecb-bc2d-f48d5e35743c · outbound
This paper cites Assume the held-out pool contains the expression as itsi-th entry τ (i) − = [ mult2 , sin , / , x1 , ⋄ ].
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression Assume the held-out pool contains the expression as itsi-th entry τ (i) − = [ mult2 , sin , / , x1 , ⋄ ]
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:11:37.500557Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f319aa01-f74d-42f7-a6b4-ef58c3ae79e7 · outbound
This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression RoFormer: Enhanced Transformer with Rotary Position Embedding
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:11:37.480485Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 333a0b7c-0555-42d4-8858-1679bbec1b27 · outbound
This paper cites easy” expressions are solved perfectly (left, green dots). In both “medium.
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression easy” expressions are solved perfectly (left, green dots). In both “medium
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:11:37.507471Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c23b8e55-e221-42c5-852a-dba34484e505 · outbound
This paper cites 17 Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression Simplification yields ¯τ (2)∗ = [ * , / , x1 , pow2 , x2 , ⋄ ].
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression 17 Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression Simplification yields ¯τ (2)∗ = [ * , / , x1 , pow2 , x2 , ⋄ ]
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:11:37.504031Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d334b3c8-5bcf-4e25-9cc0-24a9aea60d3f · outbound
This paper cites Burlacu, B., Kronberger, G., and Kommenda, M.
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression Burlacu, B., Kronberger, G., and Kommenda, M
Reference 945
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:11:37.472211Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b01930e-8c5c-4ffe-a716-8c00342e2344 · outbound
This paper cites org/CorpusID:250048548.
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression org/CorpusID:250048548
Reference 2022
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-03T03:11:37.485553Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 478aebd0-314f-44a5-bd4b-e6125b735a92 · outbound
This paper cites an unresolved cited work.
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression Unresolved cited work
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:11:37.467044Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77ed3082-2f62-4fe9-9dca-7d86cf6f5a7a · outbound
This paper cites Deep Double Descent: Where Bigger Models and More Data Hurt.
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression Deep Double Descent: Where Bigger Models and More Data Hurt
Reference 5992
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:11:37.476350Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.