Pith. sign in

Paper Citation Record · LEDGER

Contextually Guided Transformers via Low-Rank Adaptation

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.05672.

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

pith.paper-citation-record.v1
2506.05672 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:44.402023Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

  • verified exact2
  • verified fuzzy10
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4cd0a788-6118-4b4e-9079-1f34b155f583 · outbound

This paper cites write newline.

Contextually Guided Transformers via Low-Rank Adaptation write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:42.059635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:42.059635Z digest=sha256:e76b8ceb8d90641663b152681d2b3cfaa923d734a51c394914ddf4f556c85d1e

Observation 315e0b3b-813e-49ea-b62f-0eaf4b577e9c · outbound

This paper cites Language models are few-shot learners.

Contextually Guided Transformers via Low-Rank Adaptation Language models are few-shot learners

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:42.101352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:42.101352Z digest=sha256:b20336095d04f991c07cb1e4daae53ae9fa67b32e60e130d7b076f0a27e57416

Observation af4eed04-9725-4113-9820-5ed951393386 · outbound

This paper cites Gaussian process prior variational autoencoders.

Contextually Guided Transformers via Low-Rank Adaptation Gaussian process prior variational autoencoders

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:46.698147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:19:42.171159Z digest=sha256:1f5b0aa90ade0b9ab7d64e70859c33b503c63af2145d8f19e17ea9127a41549b

Observation 0c231f50-5c09-4483-b3ac-a7fa40f4076b · outbound

This paper cites Cf-vit: A general coarse-to-fine method for vision transformer.

Contextually Guided Transformers via Low-Rank Adaptation Cf-vit: A general coarse-to-fine method for vision transformer

Reference 4

Resolution
verified exact
doi, observed 2026-08-07T10:19:44.805924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:19:42.234358Z digest=sha256:6e7db729a8fff56f99ad4b1bb2678264b8321942b68e16b808217fcc3adfbced

Observation 0aa99e17-2832-44c2-8d87-76eafffd1af2 · outbound

This paper cites Transformer-based Conditional Variational Autoencoder for Controllable Story Generation.

Contextually Guided Transformers via Low-Rank Adaptation Transformer-based Conditional Variational Autoencoder for Controllable Story Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:42.300336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:42.300336Z digest=sha256:5b80d0416ea0938f8a44baf2f7538a96144b524193fed5fc012479cafe2cb141

Observation 4a235b5b-95bb-480b-9d5f-a66b206edb56 · outbound

This paper cites In-context learning creates task vectors.

Contextually Guided Transformers via Low-Rank Adaptation In-context learning creates task vectors

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:42.384946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:42.384946Z digest=sha256:1fd24cd952e94a5b9ddaef0b2ce575075450bcee896eb9ced80fa10bb80a22ef

Observation 63781fba-02bf-41e1-b873-f9b2f1e0638d · outbound

This paper cites A VAE for Transformers with Nonparametric Variational Information Bottleneck.

Contextually Guided Transformers via Low-Rank Adaptation A VAE for Transformers with Nonparametric Variational Information Bottleneck

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:46.565318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:19:42.450151Z digest=sha256:bdaf43b79673ece702a08e711c7e4b818fe101719d55fb1bff12721de4883d22

Observation 61c2aa74-0b6c-4bc4-a0ea-3a95bf0c4392 · outbound

This paper cites Kingma and Max Welling.

Contextually Guided Transformers via Low-Rank Adaptation Kingma and Max Welling

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:42.514370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:42.514370Z digest=sha256:bec525a8efc6611e51df7211251fd523ee9d1fa755aa401349508eb4f6664108

Observation 8d683374-2425-42bc-b83c-e74de2dbd4c3 · outbound

This paper cites an unresolved cited work.

Contextually Guided Transformers via Low-Rank Adaptation Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:42.588622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:42.588622Z digest=sha256:d77748870edd8bd78be130a90ce8494be6f81fd740a522a372e0549446d3019f

Observation 304cac0f-7a19-4efe-9831-368c5ee0e1e2 · outbound

This paper cites an unresolved cited work.

Contextually Guided Transformers via Low-Rank Adaptation Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:42.701848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:42.701848Z digest=sha256:f38dadc26882d22f92cafc870dc5a15b34fcda4e116c630ecdfbf849bd4b6fb2

Observation 4948b7ce-2e7c-48ea-96ea-011431fa813a · outbound

This paper cites Fast-slow recurrent neural networks.

Contextually Guided Transformers via Low-Rank Adaptation Fast-slow recurrent neural networks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:46.422935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:19:42.801505Z digest=sha256:4a559d20c17e826606d320da3f32ccde5a6623cc2e6216b5d29b7657c6cdc682

Observation 349c7ef4-ffc0-4c96-b956-142df9a2cf37 · outbound

This paper cites Hypertuning: Toward adapting large language models without back-propagation.

Contextually Guided Transformers via Low-Rank Adaptation Hypertuning: Toward adapting large language models without back-propagation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:46.253514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:19:42.927595Z digest=sha256:38bda1ed2b74b0c6e79e652dad371f064ddcdad8cca6362e320e42f9ccf122ec

Observation a5c6c0be-921d-4672-bf6d-c66b3b54ff37 · outbound

This paper cites Language models are unsupervised multitask learners.

Contextually Guided Transformers via Low-Rank Adaptation Language models are unsupervised multitask learners

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:43.007540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:43.007540Z digest=sha256:b76f5d82a9573151e23d413876a5e261fc046b0f162ac6debd51009c52ba166f

Observation 8f7d56fa-5a80-4f47-b82a-5b79dbb8fe8b · outbound

This paper cites an unresolved cited work.

Contextually Guided Transformers via Low-Rank Adaptation Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:43.093303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:43.093303Z digest=sha256:10a78b79bf3fb2dc8233b0c3aac74585d1f15daa15df55c9fae541200ac7bbee

Observation dcaac2e5-b1f4-4c07-92e4-a59c167248eb · outbound

This paper cites Orthogonal projection loss.

Contextually Guided Transformers via Low-Rank Adaptation Orthogonal projection loss

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:46.036814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:19:43.157688Z digest=sha256:91c86ae376c1d01fbd84af91e0fca9f8c1570964a6e168909f44b56c1988d09c

Observation 61d9ea04-d2a0-4072-b98f-25022b328446 · outbound

This paper cites Dynamicvit: Efficient vision transformers with dynamic token sparsification.

Contextually Guided Transformers via Low-Rank Adaptation Dynamicvit: Efficient vision transformers with dynamic token sparsification

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:45.843013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:19:43.250797Z digest=sha256:e2be58fd8e0c4a2277db3ab82a12c28a7e1c37bc57d587368aa951ebda3fb07f

Observation 53123e4b-86ad-428b-9da5-97705aeff4f0 · outbound

This paper cites Learning to control fast-weight memories: An alternative to dynamic recurrent networks.

Contextually Guided Transformers via Low-Rank Adaptation Learning to control fast-weight memories: An alternative to dynamic recurrent networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:43.347372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:43.347372Z digest=sha256:cd51281a3bd4dca1f4af58f20649600b84a29206a4b8ed33cfd1393afa3b1cee

Observation 66d2743d-54f1-4c0a-a61a-4f0f7957d839 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

Contextually Guided Transformers via Low-Rank Adaptation Neural Machine Translation of Rare Words with Subword Units

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:43.432024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:43.432024Z digest=sha256:f331d5a838f067abb8cdc123db9453a644715918655d77c58b366f6ee3d74fba

Observation 76330345-cced-4c1b-9473-972397aa19d9 · outbound

This paper cites Patch slimming for efficient vision transformers.

Contextually Guided Transformers via Low-Rank Adaptation Patch slimming for efficient vision transformers

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:43.516435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:43.516435Z digest=sha256:9288690012df34bd496f122f7a4ff1e503471d8eec52d611941eb4ca5e4c0f21

Observation defa3c62-148b-4a2e-81dd-e3d486a3cd09 · outbound

This paper cites Visualizing data using t-sne.

Contextually Guided Transformers via Low-Rank Adaptation Visualizing data using t-sne

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:43.621411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:43.621411Z digest=sha256:ba8e6abc03c40355908807a847de0c43261ade47081043cdb6b7a95cb643d5b5

Observation 2b166800-9dac-4a9f-9cf5-5c1b318bf6e0 · outbound

This paper cites Transformers learn in-context by gradient descent.

Contextually Guided Transformers via Low-Rank Adaptation Transformers learn in-context by gradient descent

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:45.700864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:19:43.699600Z digest=sha256:782cf4e06da8efa035ca7acdb57d5b40a8cf0634972c2ec5d15ab43f75419639

Observation 796d962b-de31-47ab-a092-82eb208d5999 · outbound

This paper cites Uncovering mesa-optimization algorithms in transformers, 2023.

Contextually Guided Transformers via Low-Rank Adaptation Uncovering mesa-optimization algorithms in transformers, 2023

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:45.483993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:19:43.764629Z digest=sha256:089b6cec0bed2364434c33185a7fe1011f7ed5baa53aff55684743d2e43ead35

Observation a9d8e91f-2d80-474d-80f4-9815f17db886 · outbound

This paper cites T-cvae: Transformer-based conditioned variational autoencoder for story completion.

Contextually Guided Transformers via Low-Rank Adaptation T-cvae: Transformer-based conditioned variational autoencoder for story completion

Reference 23

Resolution
verified exact
doi, observed 2026-08-07T10:19:44.551962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:19:43.839591Z digest=sha256:5b69759e462c7eb18f530a55d1109b365c128f160cff432625f2a298f82a908f

Observation 0b416d09-26f5-45aa-9a5b-315ccaeb6bef · outbound

This paper cites Wikimedia downloads.

Contextually Guided Transformers via Low-Rank Adaptation Wikimedia downloads

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:45.318134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:19:43.936979Z digest=sha256:35af163642e1b332a5871d3e2e72528f5f01d0f4780360713075e8a25d1026b3

Observation f9241a03-e948-4009-be8f-e8ffbd6972cf · outbound

This paper cites Evo-vit: Slow-fast token evolution for dynamic vision transformer.

Contextually Guided Transformers via Low-Rank Adaptation Evo-vit: Slow-fast token evolution for dynamic vision transformer

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:44.047795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:44.047795Z digest=sha256:4905eb7f0815f4dee850c4498774d0f84b88e1c607baaffedfa1e0ff413a1c06

Observation 00bb35db-33b8-4ae0-a233-f7de58936549 · outbound

This paper cites Chi, Jason Wei, Jeff Dean, Liam B.

Contextually Guided Transformers via Low-Rank Adaptation Chi, Jason Wei, Jeff Dean, Liam B

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:45.153800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:19:44.105247Z digest=sha256:07978023b0e199b3f7b84c0f7e9397a6d2b7b20cf89707aae97a5fa67c77b148

Observation 7349ae91-9851-462d-9a0d-61d3a535d0ee · outbound

This paper cites @esa (Ref.

Contextually Guided Transformers via Low-Rank Adaptation @esa (Ref

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:44.218665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:44.218665Z digest=sha256:612f17bbac45974ae61c00752217c848168f52c4d4e74ee7215b1729f253850c

Observation 4326401b-1090-4cd9-9d83-335cfef331e4 · outbound

This paper cites an unresolved cited work.

Contextually Guided Transformers via Low-Rank Adaptation Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:44.305848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:44.305848Z digest=sha256:9cb0ba1b612e0c144f094f3aa137c0bb5675c0a3fb5a5c7c26621fae8caf8c88

Observation 1f140c7b-c20a-4b1f-82e7-c6cf0bc4e87e · outbound

This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.

Contextually Guided Transformers via Low-Rank Adaptation Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:44.402023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:44.402023Z digest=sha256:18a8e13f9077e395d8190946a69d720d49b50bc434228718bd72ff942d235bd7

Pith citing papers

No inbound Pith citation observations are available.