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Paper Citation Record · LEDGER

Extrapolation by Association: Length Generalization Transfer in Transformers

As of 17 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 4 inbound Pith citation observations for arXiv:2506.09251.

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

pith.paper-citation-record.v1
2506.09251 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:59:24.796012Z

measured 54 of 54 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:31:45.986659Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:34:21.663944Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact3
  • verified fuzzy6
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 33880408-792c-4816-8f9c-0f58a1f37073 · outbound

This paper cites Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks?.

Extrapolation by Association: Length Generalization Transfer in Transformers Task Generalization With AutoRegressive Compositional Structure: Can Learning From $D$ Tasks Generalize to $D^{T}$ Tasks?

Reference 1

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source=arxiv_source observed=2026-08-07T04:59:20.162242Z digest=sha256:63ce77627a27eae2dd652f3d51c4bed760e5aab47ce11f86cc7be7890d465e99

Observation 37f88e86-24ab-43d2-b78f-0a377425a6c1 · outbound

This paper cites On Provable Length and Compositional Generalization.

Extrapolation by Association: Length Generalization Transfer in Transformers On Provable Length and Compositional Generalization

Reference 2

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source=arxiv_source observed=2026-08-07T04:59:20.234971Z digest=sha256:cb13b9bdc9c08cf922336fd47097ffec394814bb8baec25f3d8aa49654088581

Observation 76ad8a4a-f215-403e-9aa7-52eaf28a75bb · outbound

This paper cites Llama 3 model card.

Extrapolation by Association: Length Generalization Transfer in Transformers Llama 3 model card

Reference 3

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source=arxiv_source observed=2026-08-07T04:59:20.308611Z digest=sha256:efedc7ea8846b242030eac902cc6d6f787034c4eadc446817c99f09121b195f5

Observation 7f765904-2d86-4ee7-a0e0-0b94ac480286 · outbound

This paper cites Smollm - blazingly fast and remarkably powerful, 2024.

Extrapolation by Association: Length Generalization Transfer in Transformers Smollm - blazingly fast and remarkably powerful, 2024

Reference 4

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source=arxiv_source observed=2026-08-07T04:59:20.373781Z digest=sha256:343b1a75ba6b890bf2a643761d68c6bc5eea2d3a12c231614dec54f501e4a013

Observation 7bfd8e7f-34d0-40cf-b64a-b39116e64054 · outbound

This paper cites Exploring length generalization in large language models.

Extrapolation by Association: Length Generalization Transfer in Transformers Exploring length generalization in large language models

Reference 5

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raw_fallback, observed 2026-08-07T04:59:27.317484Z

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=2026-08-07T04:59:20.440034Z digest=sha256:d66c5f17c288517f553df7b214e4a90f164c454a0c1d1c75cef5fac5efe61029

Observation 47a34764-6462-4a1d-88a4-bdfcc550539b · outbound

This paper cites Zoology: Measuring and Improving Recall in Efficient Language Models.

Extrapolation by Association: Length Generalization Transfer in Transformers Zoology: Measuring and Improving Recall in Efficient Language Models

Reference 6

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T04:59:20.526214Z digest=sha256:09f5292e5b1da035c501229abc6ee66983ed81da18ab0ee3b76e0081bb02fa74

Observation 8bb30264-8fc4-4369-ab57-fb6def66075d · outbound

This paper cites Improving Length-Generalization in Transformers via Task Hinting.

Extrapolation by Association: Length Generalization Transfer in Transformers Improving Length-Generalization in Transformers via Task Hinting

Reference 7

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source=arxiv_source observed=2026-08-07T04:59:20.605543Z digest=sha256:eb09737a9e693a507170680fa4eebe7d2a99e1fa85b1ba14a39a2902ec122d98

Observation b785543a-3f2d-4b0b-9d52-3814a2b71986 · outbound

This paper cites Round and Round We Go! What makes Rotary Positional Encodings useful?.

Extrapolation by Association: Length Generalization Transfer in Transformers Round and Round We Go! What makes Rotary Positional Encodings useful?

Reference 8

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source=arxiv_source observed=2026-08-07T04:59:20.725757Z digest=sha256:8469c3d1cf9a63c7c09cd945bfa480d7615b94b22f6f900edcfee3379a3155f3

Observation 82b13d89-1707-4373-9f77-1f4068a3200e · outbound

This paper cites Language Models are Few-Shot Learners.

Extrapolation by Association: Length Generalization Transfer in Transformers Language Models are Few-Shot Learners

Reference 9

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source=arxiv_source observed=2026-08-07T04:59:20.841712Z digest=sha256:2186009598d67e424e49b627d85e9fcb9edc6ff3d284e9df8943eb879e068610

Observation 7ca67220-9220-4ba3-9a23-a8377b262c95 · outbound

This paper cites Curve circuits.

Extrapolation by Association: Length Generalization Transfer in Transformers Curve circuits

Reference 10

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source=arxiv_source observed=2026-08-07T04:59:20.947101Z digest=sha256:24cc839a5573a79b9e16a8388ec6c071a26bf6876a0fc5671e9e84edc5b7a387

Observation 465d7395-ede9-48cd-ba1a-71919f036cde · outbound

This paper cites Position coupling: Improving length generalization of arithmetic transformers using task structure.

Extrapolation by Association: Length Generalization Transfer in Transformers Position coupling: Improving length generalization of arithmetic transformers using task structure

Reference 11

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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=2026-08-07T04:59:21.090602Z digest=sha256:4eae2c49e11751561c7c44d8e417120bb7454192966644e1295db7849b7451ef

Observation 9e830576-616b-49fb-9094-4eeb6c2afa7f · outbound

This paper cites LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens.

Extrapolation by Association: Length Generalization Transfer in Transformers LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Reference 12

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source=arxiv_source observed=2026-08-07T04:59:21.226822Z digest=sha256:019eafd6f564f52eb85f6bf96fe83951a01d4d9a4ce1d4f905b3dc9ae67789b1

Observation 3b8ccece-5595-4f9a-aa71-5b9018ad33a7 · outbound

This paper cites From Interpolation to Extrapolation: Complete Length Generalization for Arithmetic Transformers.

Extrapolation by Association: Length Generalization Transfer in Transformers From Interpolation to Extrapolation: Complete Length Generalization for Arithmetic Transformers

Reference 13

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local_arxiv, observed 2026-08-07T04:59:25.699231Z

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=2026-08-07T04:59:21.351391Z digest=sha256:8066a017463728d12eb115e4050d11c895c5ca850ad6c39562c4336b73e61254

Observation 77160230-375d-4ef1-94e4-34081a613dcb · outbound

This paper cites Location Attention for Extrapolation to Longer Sequences.

Extrapolation by Association: Length Generalization Transfer in Transformers Location Attention for Extrapolation to Longer Sequences

Reference 14

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verified exact
local_arxiv, observed 2026-08-07T04:59:25.418045Z

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=2026-08-07T04:59:21.454529Z digest=sha256:287b13325329b9afc666f4e9c4b9dd99411328139904659804987585311d0f41

Observation de2c2496-8001-4cab-a1ad-e9330e8993f2 · outbound

This paper cites Looped Transformers for Length Generalization.

Extrapolation by Association: Length Generalization Transfer in Transformers Looped Transformers for Length Generalization

Reference 15

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source=arxiv_source observed=2026-08-07T04:59:21.582522Z digest=sha256:ee91147a5fae9ae4f571a8858e9db8264f2da01305bc6672809b674e9efbda55

Observation c7b13c42-d2cb-4235-a72f-e888ac8e96c1 · outbound

This paper cites Not All LLM Reasoners Are Created Equal.

Extrapolation by Association: Length Generalization Transfer in Transformers Not All LLM Reasoners Are Created Equal

Reference 16

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source=arxiv_source observed=2026-08-07T04:59:21.688065Z digest=sha256:c6351e43a30cfd9da7efa59ec41ca5fd658e1f764293113d22534d40e1e18552

Observation fc852dff-426e-4d09-a978-a6c5c21eddb2 · outbound

This paper cites Compositionality decomposed: How do neural networks generalise? Journal of Artificial Intelligence Research, 67: 0 757--795, 2020.

Extrapolation by Association: Length Generalization Transfer in Transformers Compositionality decomposed: How do neural networks generalise? Journal of Artificial Intelligence Research, 67: 0 757--795, 2020

Reference 17

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raw_fallback, observed 2026-08-07T04:59:26.939238Z

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=2026-08-07T04:59:21.814807Z digest=sha256:f2f413f893f49c45ff4542ddb398bbde40a7691ec4a817e1fe2d6e30c1c45671

Observation 37578f20-fd25-41b8-b168-17889a1cf32d · outbound

This paper cites The impact of positional encoding on length generalization in transformers.

Extrapolation by Association: Length Generalization Transfer in Transformers The impact of positional encoding on length generalization in transformers

Reference 18

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source=arxiv_source observed=2026-08-07T04:59:21.964867Z digest=sha256:14f77963d1b854045275b21f39240a5b42d6db78a4a7edaa59aebe5c5bcfe93b

Observation a0b6e6fa-3f8f-4697-9da3-2b0f4fe85944 · outbound

This paper cites Teaching Arithmetic to Small Transformers.

Extrapolation by Association: Length Generalization Transfer in Transformers Teaching Arithmetic to Small Transformers

Reference 19

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source=arxiv_source observed=2026-08-07T04:59:22.085667Z digest=sha256:3921915b900cbc2daf5b2f3f5ffc3163ca5162ae71099d8d313361779f36bac4

Observation 9b37e4b3-07c9-4abc-aac8-65761039cf7c · outbound

This paper cites Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges.

Extrapolation by Association: Length Generalization Transfer in Transformers Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges

Reference 20

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source=arxiv_source observed=2026-08-07T04:59:22.214156Z digest=sha256:7f782f82abf54c501dbfc6903af8bb8e3fe6342c877bcf92c3f1d1b695443fdd

Observation ea75c76d-bdba-493b-842f-d864e0d628d9 · outbound

This paper cites On the power of convolution-augmented transformer.

Extrapolation by Association: Length Generalization Transfer in Transformers On the power of convolution-augmented transformer

Reference 21

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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=2026-08-07T04:59:22.338046Z digest=sha256:ac3ed383c9c5317a7610aa1ef7c4fb9e684d3459d70cfca19a0a4b3857e01697

Observation bbc82434-d7c4-414f-b00d-fa18c849919f · outbound

This paper cites Functional Interpolation for Relative Positions Improves Long Context Transformers.

Extrapolation by Association: Length Generalization Transfer in Transformers Functional Interpolation for Relative Positions Improves Long Context Transformers

Reference 22

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source=arxiv_source observed=2026-08-07T04:59:22.439576Z digest=sha256:7dc0c73eb75600edbdad7a5e4fc9928342a72bb8fb3eb28b86632f965d9d10f5

Observation ec53643b-0ec3-463e-8512-a7b65201e533 · outbound

This paper cites Transformers Can Do Arithmetic with the Right Embeddings.

Extrapolation by Association: Length Generalization Transfer in Transformers Transformers Can Do Arithmetic with the Right Embeddings

Reference 23

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source=arxiv_source observed=2026-08-07T04:59:22.551425Z digest=sha256:a6fd79246346ef29d5e0a330dccec350c85782dfe93707759ff35ac715c56458

Observation 7fa88278-8f65-4253-9aca-a6bcd8680afd · outbound

This paper cites The EOS Decision and Length Extrapolation.

Extrapolation by Association: Length Generalization Transfer in Transformers The EOS Decision and Length Extrapolation

Reference 24

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source=arxiv_source observed=2026-08-07T04:59:22.652718Z digest=sha256:b5c5099624a2d71b59b65a08d46575e0747ce08c934543c1dbbe0aa5140c03c6

Observation fa7483f7-0633-45e2-b450-6e51f0abe355 · outbound

This paper cites In-context Learning and Induction Heads.

Extrapolation by Association: Length Generalization Transfer in Transformers In-context Learning and Induction Heads

Reference 25

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source=arxiv_source observed=2026-08-07T04:59:22.798473Z digest=sha256:9bf6e55d41fca8a2b5b81c846c87f8713e7ca52f4632cd83beea0d28e5e98c1d

Observation 9ff12991-e5ea-4e52-b7de-3a961811a456 · outbound

This paper cites GPT-4 Technical Report.

Extrapolation by Association: Length Generalization Transfer in Transformers GPT-4 Technical Report

Reference 26

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source=arxiv_source observed=2026-08-07T04:59:22.903100Z digest=sha256:b57f6230b8e345ff9049ef515ed334ad2ba4761fd8b3b3163fc7af1f4fd25a50

Observation b8944dab-d489-47cc-947f-2cd86631af48 · outbound

This paper cites YaRN: Efficient Context Window Extension of Large Language Models.

Extrapolation by Association: Length Generalization Transfer in Transformers YaRN: Efficient Context Window Extension of Large Language Models

Reference 27

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source=arxiv_source observed=2026-08-07T04:59:23.012533Z digest=sha256:642ec33f755d9917eae443123733888725d618225effea7270d639651fad6ac3

Observation 416a25d7-da85-47df-b2a8-9a0c155093ee · outbound

This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

Extrapolation by Association: Length Generalization Transfer in Transformers Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 28

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source=arxiv_source observed=2026-08-07T04:59:23.097510Z digest=sha256:666ab2765d96e16985bdbdb0010da2e0b4fc7aa9ca154623fcb5656371fc4a42

Observation 0a6dd0fc-2ec8-49df-b36d-685a7f6506f8 · outbound

This paper cites Understanding Addition in Transformers.

Extrapolation by Association: Length Generalization Transfer in Transformers Understanding Addition in Transformers

Reference 29

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source=arxiv_source observed=2026-08-07T04:59:23.183727Z digest=sha256:1232d36c8cdd17d827ec99c942f127f6a4c73b216bd2671ed80e87d5707d25cf

Observation 49e6a529-0013-4ec1-a89d-15310ee7de78 · outbound

This paper cites Understanding Addition and Subtraction in Transformers.

Extrapolation by Association: Length Generalization Transfer in Transformers Understanding Addition and Subtraction in Transformers

Reference 30

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source=arxiv_source observed=2026-08-07T04:59:23.268938Z digest=sha256:615fa6dc33ad13ce2c23004a9f12be03b5b9776ed259d7ee1e90133b0c54b05e

Observation b78d701f-0376-4daa-9a6e-8a75baf8af62 · outbound

This paper cites Compositional capabilities of autoregressive transformers: A study on synthetic, interpretable tasks.

Extrapolation by Association: Length Generalization Transfer in Transformers Compositional capabilities of autoregressive transformers: A study on synthetic, interpretable tasks

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-07T04:59:26.507125Z

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=2026-08-07T04:59:23.370958Z digest=sha256:1933b576fd6d31a3e0cf722e338a4e33b869ddeb251322559b201c2ee5d2d359

Observation 95a3bfde-2e81-43cf-a132-86c6989a957d · outbound

This paper cites Randomized Positional Encodings Boost Length Generalization of Transformers.

Extrapolation by Association: Length Generalization Transfer in Transformers Randomized Positional Encodings Boost Length Generalization of Transformers

Reference 32

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source=arxiv_source observed=2026-08-07T04:59:23.490891Z digest=sha256:520687aa454c024c984a1069afef139eb3a6a3de10970ac406b0b16f8b7c6f50

Observation 0d1d0ade-6547-41b4-9726-06fefd1abf76 · outbound

This paper cites Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks.

Extrapolation by Association: Length Generalization Transfer in Transformers Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks

Reference 33

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source=arxiv_source observed=2026-08-07T04:59:23.494086Z digest=sha256:0b1fa483ff6cbf08b367a31998958c7b1708b77264d45a8ebed49722f9f1e4ec

Observation f379a385-fef3-436b-a249-b43435063d3f · outbound

This paper cites Multitask prompted training enables zero-shot task generalization.

Extrapolation by Association: Length Generalization Transfer in Transformers Multitask prompted training enables zero-shot task generalization

Reference 34

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source=arxiv_source observed=2026-08-07T04:59:23.497635Z digest=sha256:be309fed1852d5d7478a1564dd9de7f0c3c85f1ae203de12c833e698af71ce5a

Observation 7a215239-c687-43aa-aaaa-b184527bfd3f · outbound

This paper cites Positional Description Matters for Transformers Arithmetic.

Extrapolation by Association: Length Generalization Transfer in Transformers Positional Description Matters for Transformers Arithmetic

Reference 35

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source=arxiv_source observed=2026-08-07T04:59:23.504423Z digest=sha256:c25c3ff88b3da5d54479c36b8535b755c6830e73aca5ccc10a9332cf8d64b9e0

Observation 82ea1acf-e236-4a76-a936-31c7952b4cda · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Extrapolation by Association: Length Generalization Transfer in Transformers RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 36

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no resolver link, observed 2026-08-07T04:59:23.570697Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:59:23.570697Z digest=sha256:325f478963c8363a3052f9b89b67c217b4443d96c27a82b4422fbba72850cc84

Observation f79164a6-a64d-4590-95be-a8493a301f24 · outbound

This paper cites Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small.

Extrapolation by Association: Length Generalization Transfer in Transformers Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

Reference 37

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source=arxiv_source observed=2026-08-07T04:59:23.693310Z digest=sha256:24e40485c842083d8a60accc421796b16c2c2816641b3fbdbbd98c308339335f

Observation e86f633f-8665-4e17-946b-9ef729a0dc7b · outbound

This paper cites Emergent Abilities of Large Language Models.

Extrapolation by Association: Length Generalization Transfer in Transformers Emergent Abilities of Large Language Models

Reference 38

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Observation d4d1d9ed-c6fb-4f9f-bf7c-bc19e82dd2cd · outbound

This paper cites Generating random spanning trees more quickly than the cover time.

Extrapolation by Association: Length Generalization Transfer in Transformers Generating random spanning trees more quickly than the cover time

Reference 39

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This paper cites Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability.

Extrapolation by Association: Length Generalization Transfer in Transformers Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability

Reference 40

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Observation cf976f1f-9c79-4d43-a47c-1f432f944a26 · outbound

This paper cites Exploring compositional generalization of large language models.

Extrapolation by Association: Length Generalization Transfer in Transformers Exploring compositional generalization of large language models

Reference 41

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Observation b53566eb-d69f-4318-bb93-bc6ecbbd7aa4 · outbound

This paper cites From local structures to size generalization in graph neural networks.

Extrapolation by Association: Length Generalization Transfer in Transformers From local structures to size generalization in graph neural networks

Reference 42

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Observation aef55765-ae28-4010-90d0-c3d1e47d1f2b · outbound

This paper cites Skill-Mix: a Flexible and Expandable Family of Evaluations for AI models.

Extrapolation by Association: Length Generalization Transfer in Transformers Skill-Mix: a Flexible and Expandable Family of Evaluations for AI models

Reference 43

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Observation 29f2d413-7634-4ce7-b67a-fc133faa463e · outbound

This paper cites On the Out-Of-Distribution Generalization of Multimodal Large Language Models.

Extrapolation by Association: Length Generalization Transfer in Transformers On the Out-Of-Distribution Generalization of Multimodal Large Language Models

Reference 44

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Observation 43353b2d-a060-49c6-b053-a5b93d897d63 · outbound

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Extrapolation by Association: Length Generalization Transfer in Transformers Can Models Learn Skill Composition from Examples?

Reference 45

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This paper cites What Algorithms can Transformers Learn? A Study in Length Generalization.

Extrapolation by Association: Length Generalization Transfer in Transformers What Algorithms can Transformers Learn? A Study in Length Generalization

Reference 46

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Observation fe812d76-337a-468b-bb5d-f301e3e82b77 · outbound

This paper cites Transformers Can Achieve Length Generalization But Not Robustly.

Extrapolation by Association: Length Generalization Transfer in Transformers Transformers Can Achieve Length Generalization But Not Robustly

Reference 47

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Observation 5fe4a088-6910-42c2-9ab2-8c968b0b28fd · outbound

This paper cites @esa (Ref.

Extrapolation by Association: Length Generalization Transfer in Transformers @esa (Ref

Reference 48

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Extrapolation by Association: Length Generalization Transfer in Transformers Unresolved cited work

Reference 49

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This paper cites Gw4YHj hk 9(kIwxS4g6ŘT kI,pk QXf4!׵G 1F <Fi<5 Si,pk -)#cA M;5zt`vj.

Extrapolation by Association: Length Generalization Transfer in Transformers Gw4YHj hk 9(kIwxS4g6ŘT kI,pk QXf4!׵G 1F <Fi<5 Si,pk -)#cA M;5zt`vj

Reference 50

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Pith citing papers

Observation 9188c2a1-aea5-40cf-955f-a0c64e354a7f · inbound

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii cites this paper.

Resizing the giants: How modelling adiabatic interiors impacts predicted planetary radii Extrapolation by Association: Length Generalization Transfer in Transformers

Reference 3

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Observation a1082e5a-8ddb-47a3-b8c7-d139f47efade · inbound

Generalization in LLM Problem Solving: The Case of the Shortest Path cites this paper.

Generalization in LLM Problem Solving: The Case of the Shortest Path Extrapolation by Association: Length Generalization Transfer in Transformers

Reference 7

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Observation db4eb563-96aa-4d12-9672-69cfe27f1e89 · inbound

Stabilizing Extrapolation in Looped Transformers via Learned Stochastic Stopping cites this paper.

Stabilizing Extrapolation in Looped Transformers via Learned Stochastic Stopping Extrapolation by Association: Length Generalization Transfer in Transformers

Reference 6

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Observation dbb801d3-d95d-4221-8c25-ca90905e7e47 · inbound

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks cites this paper.

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks Extrapolation by Association: Length Generalization Transfer in Transformers

Reference 2020

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