Paper Citation Record · LEDGER

Transformer Language Models without Positional Encodings Still Learn Positional Information

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2203.16634.

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

pith.paper-citation-record.v1
2203.16634 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:25:02.732069Z

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
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External citation measurements

4
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 8501bb37-4668-4bfc-9689-f0dd56366d5b · inbound

Flamingo: a Visual Language Model for Few-Shot Learning cites this paper.

Flamingo: a Visual Language Model for Few-Shot Learning Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:22:30.088404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 653efb2c-3ef8-4d44-b276-5311aa9a4380 · inbound

Massive Activations in Large Language Models cites this paper.

Massive Activations in Large Language Models Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:02:53.862054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 173022f9-3ad6-4e59-ae7f-05546af99168 · inbound

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers cites this paper.

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T00:56:50.070029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation badd3ee9-56b1-40ae-8851-d1e1c3c20f38 · inbound

Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering cites this paper.

Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T14:25:02.732069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93ad4f48-f28c-4dd8-8a82-6aa22e0e9cbe · inbound

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding cites this paper.

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T16:58:03.081142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efc5d93e-758c-404d-b3f3-fc444701bbdd · inbound

Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding cites this paper.

Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T22:49:44.811424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9d86a93-f68e-4d2b-ab93-21b09c2b5825 · inbound

Transformer Vibration Forecasting for Advancing Rail Safety and Maintenance 4.0 cites this paper.

Transformer Vibration Forecasting for Advancing Rail Safety and Maintenance 4.0 Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T18:00:52.931195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f39a9532-9004-455c-8e24-47cfb80b006a · inbound

Emergence of Episodic Memory in Transformers: Characterizing Changes in Temporal Structure of Attention Scores During Training cites this paper.

Emergence of Episodic Memory in Transformers: Characterizing Changes in Temporal Structure of Attention Scores During Training Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T17:06:43.880176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50ff3154-c93e-41b1-81fe-ac5201bccfb2 · inbound

RoToR: Towards More Reliable Responses for Order-Invariant Inputs cites this paper.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T16:11:43.141542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 645af7c5-3042-4dfa-8376-beebab301aad · inbound

Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach cites this paper.

Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:32.870058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaca7eb5-b6f8-4d09-a665-c5d4e9145c51 · inbound

SeqPE: Transformer with Sequential Position Encoding cites this paper.

SeqPE: Transformer with Sequential Position Encoding Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T00:45:02.420065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76545f0f-3c66-46ae-ae27-bcac18cdf1ad · inbound

Multispin Physics of AI Tipping Points and Hallucinations cites this paper.

Multispin Physics of AI Tipping Points and Hallucinations Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T05:57:33.919802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cf766f5-df18-47aa-b11b-5fea394327a3 · inbound

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting cites this paper.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:01.272274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 024e6ef0-6e81-406a-b1d3-a2608f3f7300 · inbound

CEHR-XGPT: A Scalable Multi-Task Foundation Model for Electronic Health Records cites this paper.

CEHR-XGPT: A Scalable Multi-Task Foundation Model for Electronic Health Records Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T10:52:59.188637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f806f3b-66bd-40bb-9b99-457706289e14 · inbound

HoPE: Hyperbolic Rotary Positional Encoding for Stable Long-Range Dependency Modeling in Large Language Models cites this paper.

HoPE: Hyperbolic Rotary Positional Encoding for Stable Long-Range Dependency Modeling in Large Language Models Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T05:36:53.601520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7436bdc-b19f-41b3-897b-1d6b760aa2be · inbound

Positional Encoding via Token-Aware Phase Attention cites this paper.

Positional Encoding via Token-Aware Phase Attention Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T16:21:36.609101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 156be933-1f63-4f5f-9a6b-30a8988c3a98 · inbound

Group Representational Position Encoding cites this paper.

Group Representational Position Encoding Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:08:43.767612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a08c1a0f-9545-4905-8ec5-d1c1b43a7ee5 · inbound

A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks cites this paper.

A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:13:21.732648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dbebe238-8cd8-40ca-8c52-cc3e97245e66 · inbound

A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks cites this paper.

A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:25:07.710016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cc8cd4cc-44e2-4e39-9a9e-1e6b85392283 · inbound

Dual Triangle Attention: Effective Bidirectional Attention Without Positional Embeddings cites this paper.

Dual Triangle Attention: Effective Bidirectional Attention Without Positional Embeddings Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T21:20:51.638374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5f0ca977-0fce-4456-aee5-387ace545b58 · inbound

OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens cites this paper.

OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:51:04.780449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2ee66109-20c5-4638-8d77-35b795b06a43 · inbound

ElasticDiT: Efficient Diffusion Transformers via Elastic Architecture and Sparse Attention for High-Resolution Image Generation on Mobile Devices cites this paper.

ElasticDiT: Efficient Diffusion Transformers via Elastic Architecture and Sparse Attention for High-Resolution Image Generation on Mobile Devices Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:43.848068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 406fdc27-22b7-4e10-b1f7-470c2cc7b495 · inbound

Graphical einops: bridging tensor networks and computation graphs cites this paper.

Graphical einops: bridging tensor networks and computation graphs Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:02:46.401271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1c936d0b-22a4-4f5b-a87f-f560a3ab5e1c · inbound

ATMA: Long-Context Language Modeling via Polar Attention and Gated-Delta Compression Memory cites this paper.

ATMA: Long-Context Language Modeling via Polar Attention and Gated-Delta Compression Memory Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:09:59.040282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 294b3462-0143-4891-9b6a-262638e79ea3 · inbound

ATMA: Long-Context Language Modeling via Polar Attention and Gated-Delta Compression Memory cites this paper.

ATMA: Long-Context Language Modeling via Polar Attention and Gated-Delta Compression Memory Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T09:44:37.728642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f60ed161-8f99-4c5a-b349-f1fd494fed80 · inbound

AdaRoPE: Not All Attention Heads Should Rotate and Scale Equally cites this paper.

AdaRoPE: Not All Attention Heads Should Rotate and Scale Equally Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T12:17:16.288746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.