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Paper Citation Record · LEDGER

Modeling Code: Is Text All You Need?

As of 7 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.11467.

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

pith.paper-citation-record.v1
2507.11467 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:11:49.967637Z

measured 27 of 27 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

27 of 27 outbound references displayed

  • verified exact2
  • verified fuzzy9
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 10957003-eb06-4774-8c7f-3fe87c900639 · outbound

This paper cites write newline.

Modeling Code: Is Text All You Need? write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:47.872644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:47.872644Z digest=sha256:9ed7dd19f6f31f1c34b76198bcd02aefeeb39468ecdaab8a60fdbaf88e91c13f

Observation c996e90d-2201-4602-9001-16f71d06d14e · outbound

This paper cites URL https://samate.nist.gov/SRD/testsuite.php.

Modeling Code: Is Text All You Need? URL https://samate.nist.gov/SRD/testsuite.php

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:11:53.424437Z

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=2026-08-06T17:11:47.969197Z digest=sha256:fb9a44d4b6d8a59f7a7105343e5ce81048236111711f595ec731cb946cb641c6

Observation 57e456e3-3f22-4446-9ba8-cc0cc43b021a · outbound

This paper cites Learning to represent programs with graphs.

Modeling Code: Is Text All You Need? Learning to represent programs with graphs

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:11:53.194334Z

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=2026-08-06T17:11:48.009272Z digest=sha256:c1c86fcb7e9a32368871c68346040b0c46d74bfefa7ddb3147465436e1550dca

Observation cdcddcbd-6d0d-4b64-a3fa-05d3fa9fab90 · outbound

This paper cites Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods.

Modeling Code: Is Text All You Need? Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:11:51.053699Z

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=2026-08-06T17:11:48.079782Z digest=sha256:01e08f63f560c73658a23a3d2faea75a48fb7d52fc048dd8167b896559da0e44

Observation befbd41d-1991-4a41-bfa6-35e7eb9d5cf6 · outbound

This paper cites V., Ben-Nun, T., Hoefler, T., O'Boyle, M.

Modeling Code: Is Text All You Need? V., Ben-Nun, T., Hoefler, T., O'Boyle, M

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:11:52.928824Z

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=2026-08-06T17:11:48.147973Z digest=sha256:8b0cfd544bef740ebf6484ea3c09472ffd90ee5ada5d7afd9b8af4df96d9d8f2

Observation dd8a4f4d-350d-428d-a502-d3525614938c · outbound

This paper cites Talk like a Graph: Encoding Graphs for Large Language Models.

Modeling Code: Is Text All You Need? Talk like a Graph: Encoding Graphs for Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:48.190207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:48.190207Z digest=sha256:607b7713880c0558866181b0110af4a20bfe83f7568176b1f67f53c3db1d0ba6

Observation 366909bf-bf1d-4313-8bcd-e94a846b1844 · outbound

This paper cites R., Lee, G.

Modeling Code: Is Text All You Need? R., Lee, G

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:48.269147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:48.269147Z digest=sha256:aff8ecf52498e0493bfeeb81c5ff6413d928a9efa275f194fd637713c7f680b5

Observation 2567f124-c3d2-4542-ba51-b8981d4145b5 · outbound

This paper cites S., Diaz, J.

Modeling Code: Is Text All You Need? S., Diaz, J

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:11:52.708242Z

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=2026-08-06T17:11:48.335035Z digest=sha256:7eff5af219ac1fc5f33ffaa5f07121d18ec57e898c2c33da472684a8ae66cad2

Observation bacef916-8ff8-4e01-95d2-ff7010fa51bb · outbound

This paper cites GraphCodeBERT: Pre-training Code Representations with Data Flow.

Modeling Code: Is Text All You Need? GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:48.394215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:48.394215Z digest=sha256:0481ef90408e85131aa9075ed9fe4aa562b937445cee1ff3ce552d160f6a50b6

Observation 740865a4-29fc-44c4-bada-566f6c391653 · outbound

This paper cites UniXcoder: Unified Cross-Modal Pre-training for Code Representation.

Modeling Code: Is Text All You Need? UniXcoder: Unified Cross-Modal Pre-training for Code Representation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:48.445108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:48.445108Z digest=sha256:2965711a60333681315ddd78481d2fbc288d30fa4010f4ec6e40606e09f7d84b

Observation 5c004954-587f-4d65-9462-90d2146fadf5 · outbound

This paper cites T., Mahmud, Q.

Modeling Code: Is Text All You Need? T., Mahmud, Q

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:11:52.481218Z

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=2026-08-06T17:11:48.533555Z digest=sha256:ac6f9d315c0a628daa9175e2702e33f064a8cfab888855ba02246f8ab35d0104

Observation a58ecb4e-27f0-4b31-b7f7-6aaa5923688f · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Modeling Code: Is Text All You Need? Semi-Supervised Classification with Graph Convolutional Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:48.602429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:48.602429Z digest=sha256:b4fbb35c4a8d518214d4aa42f6cdb8be316e9cf163c1ab49027e4c07dceb1ce8

Observation 63f6eb6d-13a4-4392-8a10-5de093ab3c53 · outbound

This paper cites The stack: 3 tb of permissively licensed source code.

Modeling Code: Is Text All You Need? The stack: 3 tb of permissively licensed source code

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:11:52.230588Z

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=2026-08-06T17:11:48.675449Z digest=sha256:bc95fc55d9535d501ae4dd28e1bb47030b620679faceed174bd082417d063750

Observation 8f594cb4-c8ca-4654-a66d-7d6f632bf0ae · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Modeling Code: Is Text All You Need? The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:48.743304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:48.743304Z digest=sha256:14bf05156de346f47eaa4d9f0fe32d7b2739bcf8a64e718e8c9c8c17c19cea0e

Observation 796bf451-8aab-453b-badb-84be74117991 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Modeling Code: Is Text All You Need? Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:48.856527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:48.856527Z digest=sha256:462c7ba683af6a6699bf7af02d2c16be81e74e1b229f322a9658a0bf8230caa6

Observation 96365679-88f0-4b75-b214-5796262c7356 · outbound

This paper cites GPT Understands, Too.

Modeling Code: Is Text All You Need? GPT Understands, Too

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:49.012680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:49.012680Z digest=sha256:bb5410b6dbd08b3b609ce6d60b6447fd4e97c93af3fb2e9b2b8260f3c0d2db56

Observation 80e1f4c2-0c0d-4ec1-8cbc-df5815a88ff4 · outbound

This paper cites an unresolved cited work.

Modeling Code: Is Text All You Need? Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:49.063472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:49.063472Z digest=sha256:e28698ab603d70868b4b17a7573c63b5b03ff879df2a011e29b4ae26d3512581

Observation d0e867dc-9c0a-4c3f-951c-799ecc3ac643 · outbound

This paper cites Decoupled Weight Decay Regularization.

Modeling Code: Is Text All You Need? Decoupled Weight Decay Regularization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:49.181052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:49.181052Z digest=sha256:b1855a4e06c5ae7a5e4e6afa0b05ec4e5449d4211e735a5a8a9cbd1c70c99e43

Observation 8cc29476-10d8-4982-b0c4-5ba2db8cfe78 · outbound

This paper cites an unresolved cited work.

Modeling Code: Is Text All You Need? Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:11:52.035900Z

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=2026-08-06T17:11:49.245002Z digest=sha256:e01eed2a4f22f395f01ee1d61e719418d8ef619993abdd0fc60f41e52217ef9d

Observation 517d070f-a585-45bc-bf14-663badd13182 · outbound

This paper cites Convolutional neural networks over tree structures for programming language processing.

Modeling Code: Is Text All You Need? Convolutional neural networks over tree structures for programming language processing

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:11:51.821428Z

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=2026-08-06T17:11:49.305780Z digest=sha256:a96036884afcfdc6bb405d910cf6283525e256dfc19a9313ef62d90ddd5549dd

Observation 5fe0e4c9-87b5-422f-ac97-578ba9fab731 · outbound

This paper cites Convolutional neural networks over tree structures for programming language processing.

Modeling Code: Is Text All You Need? Convolutional neural networks over tree structures for programming language processing

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:11:51.559355Z

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=2026-08-06T17:11:49.339887Z digest=sha256:b2b147ded17fc324fcee3d2a2d5d5be8fd7c206f6c37e8dc8646785a2d74f1f5

Observation 9e6b5842-791e-4434-8546-006d186f1d84 · outbound

This paper cites H., Xie, Z., Rajaram, A., and Bhatele, A.

Modeling Code: Is Text All You Need? H., Xie, Z., Rajaram, A., and Bhatele, A

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:11:51.285798Z

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=2026-08-06T17:11:49.548502Z digest=sha256:becc941aeb56fb4d4483b80045a7164647198624e0e7c17bf00fa12221187392

Observation b8543662-043c-4386-be38-5708e8af7c6f · outbound

This paper cites GPT-4o System Card.

Modeling Code: Is Text All You Need? GPT-4o System Card

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:49.638603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:49.638603Z digest=sha256:52853f18d7eb15c6077652b80f4ecb0019044b6c32a7d663c3d8c8e5dbe3e932

Observation 1cfd3b10-90ab-49f1-afad-68cd4ae14c57 · outbound

This paper cites Let Your Graph Do the Talking: Encoding Structured Data for LLMs.

Modeling Code: Is Text All You Need? Let Your Graph Do the Talking: Encoding Structured Data for LLMs

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:49.719008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:49.719008Z digest=sha256:886d9a55336aa43d21c529f67a1fb85c2588cce7fe5103ccaa54a65bbd16e4db

Observation fb7b030f-4391-48f0-b508-63eb548c35d4 · outbound

This paper cites Dataflow analysis-inspired deep learning for efficient vulnerability detection.

Modeling Code: Is Text All You Need? Dataflow analysis-inspired deep learning for efficient vulnerability detection

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:49.806122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:49.806122Z digest=sha256:aee0482610cdc29d8fa37aa296c97cb715c35a6e7af53da0b7825b17fbbd0f6d

Observation ed528fef-9cfc-46a1-b458-06a3d08837fd · outbound

This paper cites Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning.

Modeling Code: Is Text All You Need? Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:11:50.225066Z

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=2026-08-06T17:11:49.887063Z digest=sha256:e7e9ce331946d9a5e64267390d09e6b0736388276a365608627b61a6639909b1

Observation 12c34bac-d73d-488e-8a6e-6abf33225dc4 · outbound

This paper cites Magicoder: Empowering Code Generation with OSS-Instruct.

Modeling Code: Is Text All You Need? Magicoder: Empowering Code Generation with OSS-Instruct

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T17:11:49.967637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:11:49.967637Z digest=sha256:155e6046a907289d748cc885c015cab37939b52b76a85f1d8dafd4f3e53de4cb

Pith citing papers

No inbound Pith citation observations are available.