Pith. sign in

Paper Citation Record · LEDGER

Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph

As of 12 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 2 inbound Pith citation observations for arXiv:2501.00659.

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

pith.paper-citation-record.v1
2501.00659 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:50:05.278515Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:39:37.046687Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T05:31:33.745848Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2bea267e-d7ea-4f8f-8705-dfe71d7b8186 · outbound

This paper cites an unresolved cited work.

Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:50:05.680082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:50:05.191186Z digest=sha256:d3b9c5a4c9dd1267fb49b3d64fa9d6d12523589286c444207c9c9d5312ec3f62

Observation d27d3347-fe19-4bcb-b3a1-d068c56deea3 · outbound

This paper cites Challenges and Applications of Large Language Models.

Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph Challenges and Applications of Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T22:50:05.210444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:50:05.210444Z digest=sha256:48df9c28afda42bfed56ee2a56f4fced025bed48fe03277fb08db3201871709d

Observation aff8dc25-179d-4ced-9a39-a5b24f77633f · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph Code Llama: Open Foundation Models for Code

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T22:50:05.230804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:50:05.230804Z digest=sha256:a7070189fa225ce4db8800d1259bdfa6180da2bf8d128ea248265cbffedc157a

Observation ff0320e0-05da-4067-abec-22a369e1e467 · outbound

This paper cites an unresolved cited work.

Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:50:05.593594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:50:05.241213Z digest=sha256:148dd6448e9980d9a15b70644e17cd5f55a7a63eb6727a05aefaf43ac1fe1857

Observation d2003ca6-8712-4d41-a479-8328ccc334e8 · outbound

This paper cites Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM.

Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T22:50:05.249773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:50:05.249773Z digest=sha256:a9002e619054113549b3d2f405c7bde8c70287e2b03b37c957dba762ad4aef31

Observation 462f4811-8434-464b-b9ee-47bc85f8cc4a · outbound

This paper cites an unresolved cited work.

Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph Unresolved cited work

Reference 2000

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:50:05.734787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:50:05.153263Z digest=sha256:2c39fc64aee6a4650bee5134d678676c9c6a650bc7c410571eee3ce67c308684

Observation 6031534d-63d2-4ac0-901f-db4aad914eb1 · outbound

This paper cites an unresolved cited work.

Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph Unresolved cited work

Reference 2011

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:50:05.567658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:50:05.257515Z digest=sha256:9fb51bcc12575b5464bdeeb52470302f8e9a1762470456e437b5fd0bcf547a9d

Observation f58ad012-a4df-45d3-a862-d3a9a25363d7 · outbound

This paper cites an unresolved cited work.

Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph Unresolved cited work

Reference 2014

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:50:05.516429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:50:05.278515Z digest=sha256:c34024a1a76878d176c747989b176f2bb4885c2384669cec9488cf27233b1fe3

Observation 186b6191-8af1-4f5d-bcb6-061c5e531a33 · outbound

This paper cites an unresolved cited work.

Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph Unresolved cited work

Reference 2019

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:50:05.543676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:50:05.270601Z digest=sha256:b575035ab180a2164c02428a7819e3942d0b7c39f0d9aef57e1ddee123b5966b

Observation a76db83a-c740-4778-948d-ed06fae54368 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-10T22:50:05.163024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:50:05.163024Z digest=sha256:8b5fd7ac1098dae82b1253389b1baf04ff1963714106daccf65cf886be69bf75

Observation 3b032334-ae30-4a39-a147-fcb1384043eb · outbound

This paper cites an unresolved cited work.

Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph Unresolved cited work

Reference 2021

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:50:05.707761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:50:05.172655Z digest=sha256:68eb3c2f51da4c314efb84639dfdb3ceb644928f4fd4b8df96271c501bab7c22

Observation 38767efa-5cbd-4aa0-92a5-61a8cbf310d5 · outbound

This paper cites A phase transition between positional and semantic learning in a solvable model of dot-product attention.

Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph A phase transition between positional and semantic learning in a solvable model of dot-product attention

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-10T22:50:05.181082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:50:05.181082Z digest=sha256:51553848f6798130a10039feb85fda84918de0d7bfd1eb36b41101818bdec68e

Observation 1c420aa9-1668-4c80-93ef-d7343be1fb5e · outbound

This paper cites an unresolved cited work.

Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph Unresolved cited work

Reference 2023

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:50:05.652247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:50:05.199859Z digest=sha256:f4a0135a994b65c4a41bbdc052a4ddb3ac5c2a276d72ee94d5eb65e1f94b8b22

Observation 9c1664b2-5a8f-48bc-aa92-80ff96450532 · outbound

This paper cites an unresolved cited work.

Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:50:05.624148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:50:05.222767Z digest=sha256:3af4bb1e1cc5057205e08f5317e7fdab8d3c5c6b8f108f3a45a6d0e32813f8e9

Pith citing papers

Observation 58e7d4f6-9517-4d65-9973-4bb798e00c3a · inbound

Decoupling the "What" and "Where" With Polar Coordinate Positional Embeddings cites this paper.

Decoupling the "What" and "Where" With Polar Coordinate Positional Embeddings Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-05T05:39:37.046687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:39:37.046687Z digest=sha256:3d0a4dd6a609163f4c8f43a0954be41f6e9fc1090005c6f40e92aebd8a196254

Observation cdcab211-e124-4ad2-b390-0540bbfbca5a · inbound

TREASURE: The Visa Payment Foundation Model for High-Volume Transaction Understanding cites this paper.

TREASURE: The Visa Payment Foundation Model for High-Volume Transaction Understanding Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:31:33.748552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-17T05:29:13.059403Z digest=sha256:89722f1ed5c3764b59d06d29444901aec0f1cd4b91e1bc0f4d212957553eca7e