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Paper Citation Record · LEDGER

Early Convolutions Help Transformers See Better

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2106.14881.

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

pith.paper-citation-record.v1
2106.14881 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:22:07.550583Z

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

352
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 d74e22ee-57bf-4438-bf3c-a36a3bf8c0c0 · inbound

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer cites this paper.

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer Early Convolutions Help Transformers See Better

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:46:35.190677Z

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=2026-05-20T20:46:35.073600Z digest=sha256:63211a56467b0e2c23c87092862d3ae77dfa39744adfe62d3799be1a88337a52

Observation f7776041-aaae-4300-ae83-0542ecef541a · inbound

No More Adam: Learning Rate Scaling at Initialization is All You Need cites this paper.

No More Adam: Learning Rate Scaling at Initialization is All You Need Early Convolutions Help Transformers See Better

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T14:41:00.454756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:41:00.454756Z digest=sha256:b6ad9cec34ec93425516cacfb61b93bfed33350ff5f66c3fb7d5db774ccacd1c

Observation b9e33e72-0804-401c-b322-ca1f42324b9a · inbound

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation cites this paper.

AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation Early Convolutions Help Transformers See Better

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T21:44:32.809881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:44:32.809881Z digest=sha256:87018888e42f303130e40d63ed3bbd03f63da9987542a43958ef966e2abd8412

Observation 1241c4aa-9ffb-43a6-9143-edf3682b5c4d · inbound

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks cites this paper.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Early Convolutions Help Transformers See Better

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T15:05:56.021751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:05:56.021751Z digest=sha256:b18b9cd442a376faaf1c3c7fd37b4d9b535b16259acb223365bafb7a1dd2fc98

Observation 09113d91-d445-470c-9543-52e89015e237 · inbound

Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning cites this paper.

Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning Early Convolutions Help Transformers See Better

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-17T21:05:15.609448Z

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=2026-05-17T21:04:41.766964Z digest=sha256:b96c865609563e0eaf2e1d9126e44c87454039374e6ccb1d04c2ff0103442b6c

Observation 99638a2e-f9ac-453c-acf9-2d4e8dce28b2 · inbound

Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning cites this paper.

Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning Early Convolutions Help Transformers See Better

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-03T21:40:44.507563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:40:44.507563Z digest=sha256:86bc9e6243c3ec9da6dac0f2f59252cd07b98ad93548fbad55e90ecc0d8f3089

Observation 886817b5-ff05-4a1e-827b-0316299482d0 · inbound

Multi-Resolution Tactile Imitation Learning for Contact-Rich Robotic Manipulation cites this paper.

Multi-Resolution Tactile Imitation Learning for Contact-Rich Robotic Manipulation Early Convolutions Help Transformers See Better

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:46:59.680358Z

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=2026-06-28T00:58:25.323475Z digest=sha256:fd7866474437701994a1e7588e5ee8a594d244e429f1febc9c0b0c74409f4bf6

Observation a4916f64-67cd-4f31-b610-21e1662696fa · inbound

Structure-Preserving Document Translation via Multi-Stage LLM Pipeline: A Case Study in Marathi cites this paper.

Structure-Preserving Document Translation via Multi-Stage LLM Pipeline: A Case Study in Marathi Early Convolutions Help Transformers See Better

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:04:35.267816Z

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=2026-06-30T09:59:20.602618Z digest=sha256:8a741814e3cf7ed52321c197985d8969a77b5382a590d1a6086609cc743a8802

Observation 4f7a65a3-566b-4817-93c8-c9ba079629f9 · inbound

NAE: Normalizing AutoEncoder cites this paper.

NAE: Normalizing AutoEncoder Early Convolutions Help Transformers See Better

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-16T00:22:07.550583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:22:07.550583Z digest=sha256:a4ca53b89c5a48eb1379b500d4ffa8523085efca88236b669cc80be61fda3cf8